Network peer-to-peer identification and self-organization method using unique tone signature and well using same
阅读说明：本技术 使用唯一音调签名的网络对等识别和自组织的方法及使用该方法的井 (Network peer-to-peer identification and self-organization method using unique tone signature and well using same ) 是由 K·M·沃克尔 S·W·克劳森 于 2019-02-05 设计创作，主要内容包括：公开了一种使用无线网络的通信方法。在第一节点处接收无线传输的信号。该信号具有频率签名。将接收到的信号的频率签名与先前从第二节点接收到的信号的频率签名进行比较。如果确定接收到的信号的频率签名与先前接收到的信号的频率签名在预定的相似度范围内,那么接收到的信号和先前接收到的信号被接受作为是已经由第二节点发送。(A communication method using a wireless network is disclosed. A wirelessly transmitted signal is received at a first node. The signal has a frequency signature. The frequency signature of the received signal is compared with the frequency signature of a signal previously received from the second node. The received signal and the previously received signal are accepted as having been transmitted by the second node if it is determined that the frequency signature of the received signal is within a predetermined range of similarity to the frequency signature of the previously received signal.)
1. A method of communicating using a wireless network, comprising:
receiving, at a first node, a wirelessly transmitted signal, the received signal having a frequency signature and/or an amplitude signature;
comparing the frequency signature and/or amplitude signature of the received signal with the frequency signature and/or amplitude signature of a signal previously received from the second node; and
the received signal and the previously received signal are accepted as having been transmitted by the second node if the frequency signature and/or the amplitude signature of the received signal is within a predetermined range of similarity to the frequency signature and/or the amplitude signature of the previously received signal, and the received signal and the previously received signal are defined as unique signals identifying the communication link between the first node and the second node.
2. The method of claim 1, further comprising:
using the unique signal, a wireless network is formed that is independent of user intervention.
3. The method of claim 1, further comprising:
using the unique signal, a connection in the wireless network is adjusted.
4. The method of claim 3, wherein adjusting the connection comprises adjusting the connection due to a changing physical environment.
5. The method of claim 3, wherein adjusting the connection comprises adjusting the connection to optimize network communications.
6. The method of claim 5, wherein optimizing network communications comprises at least one of: minimizing energy usage in a wireless network, minimizing error rates, maximizing data rates, minimizing time delays, guaranteeing worst case data rates, guaranteeing worst case time delays, autonomously balancing energy usage across multiple nodes, and autonomously balancing data transmission loads.
7. The method of claim 1, further comprising:
inferring a physical characteristic between a first node and a second node based on one or more of
A frequency signature and/or an amplitude signature of a signal received from the first node, an
A frequency signature and/or an amplitude signature of a signal received from the second node.
8. The method of claim 1, further comprising:
the change in frequency signature and/or amplitude signature of a subsequently received signal at the first node is recorded in memory.
9. The method of claim 1, further comprising:
determining a node in the wireless network that is closest to the condition of interest using at least one of the frequency signature and/or amplitude signature of the received signal and the frequency signature and/or amplitude signature of a previously received signal; and
sensing the condition of interest using a sensor associated with the determined node.
10. The method of claim 1, further comprising:
establishing a second communication link between a frequency signature and/or an amplitude signature of an expected received signal and a frequency signature and/or an amplitude signature of a previously received signal when the frequency signature and/or the amplitude signature of the expected received signal are not within a predetermined range of similarity
One of the first node and the second node, and
a third node (a) of the plurality of nodes,
thereby prioritizing use of the second communication link over the first communication link.
11. The method of claim 1, further comprising:
one or more communication parameters of the communication link are modified when the frequency signature and/or amplitude signature of the expected received signal is not within a predetermined range of similarity to the frequency signature and/or amplitude signature of the previously received signal.
12. The method of claim 11, wherein the one or more communication parameters include ping time, latency, symbol time, transmit amplitude, error correction type, number of bits per tone, data compression type, communication link prioritization, communication band, and modulation strategy.
13. The method of claim 1, further comprising:
identifying a risk of a communication link from one of
A frequency signature and/or an amplitude signature of the received signal, an
A frequency signature and/or an amplitude signature of a previously received signal; and
a message regarding the identified risk is sent from one of the first node and the second node to a third node or to a user of the wireless communication network.
14. The method of claim 1, wherein the wireless network is an acoustic wireless network having a tonal transmission medium.
15. The method of claim 1, wherein the receiving step comprises receiving, with a decoding node of the acoustic wireless network and from the tone transmission medium, the received acoustic tones for a tone reception time, and wherein the comparing step comprises:
estimating, during a tone reception time, a frequency of the received acoustic tone as a function of time, wherein estimating comprises estimating a plurality of discrete frequency values received at a corresponding plurality of discrete times within the tone reception time;
dividing a tone reception time into a plurality of time intervals, wherein each time interval of the plurality of time intervals comprises a subset of the plurality of discrete frequency values received during the time interval;
calculating a frequency variation within each subset of the plurality of discrete frequency values;
selecting a subset of the plurality of time intervals having a frequency variation less than a threshold frequency variation; and
averaging a plurality of discrete frequency values within a subset of the plurality of time intervals to determine a dominant frequency of the received acoustic tone.
16. The method of claim 1, further comprising:
establishing a preferred signal traversal path along the network at an optimal acoustic intensity based at least in part on one or more of
A frequency signature and/or an amplitude signature of a signal received from the first node, an
A frequency signature and/or an amplitude signature of a signal received from the second node.
17. The method of claim 1, further comprising:
using the unique signal as a substitute for the encoded node identifier in the received signal.
18. A well, comprising:
a wellbore extending within a subterranean formation; and
a downhole acoustic wireless network comprising a plurality of nodes spaced along a length of a wellbore, wherein the plurality of nodes comprises decoding nodes, and further wherein the plurality of nodes are programmed to wirelessly transmit acoustic tones along the length of the wellbore using the method of any of claims 1-17.
19. A non-transitory computer-readable storage medium comprising computer-executable instructions that, when executed, direct an acoustic wireless network to perform the method of any of claims 1-17.
Technical Field
The present disclosure relates generally to methods of acoustic communication and/or wells using the same.
Background
An acoustic wireless network may be used to wirelessly transmit acoustic signals (such as vibrations) via a tonal transmission medium. Generally, a given tone transmission medium only allows communication within a certain frequency range; also, in some systems, this frequency range may be relatively small. Such systems may be referred to herein as spectrum-limited systems. An example of a spectrally limited system is a well, such as a hydrocarbon well, that includes a plurality of communication nodes spaced along its length.
Known methods of installing and operating nodes of such networks require a significant amount of time and effort. Requiring the nodes to be installed on the casing in numerical order requires significant time investment, extended spatial coverage, and extreme logistics planning of casing movement. Once installed in the well, the operation of the network requires continuous investigation of optimal operating conditions and potential network node pairings. This is an iterative, manual process, requires a significant amount of test time, and also consumes energy for all nodes sending commands to perform the test.
The above methods also incur significant risks. Incorrect node numbering or wrong order of installation will result in the network not working properly and it may be necessary to do a lot of reconfiguration to correct the error, which will take a lot of operator time and waste energy of many nodes on the network. Accidental misconfiguration during operation, such as assigning duplicate or unordered numbers to nodes, or linking them in an endless loop, would carry a similar risk.
A typical approach to solving the numbering problem uses a central authority to number all manufactured nodes sequentially. This guarantees uniqueness, but does not address the problem of out-of-order installation, nor does it prevent accidental misconfigurations, and the approach still requires a central mechanism to contact each node (to assign numbers), limiting manufacturing efficiency.
An alternative technique is to have each node assign itself a random number and eliminate the requirement to install nodes in sequential order. This removes the risk of out-of-order and greatly reduces the risk of operational misconfiguration, but uniqueness cannot be guaranteed because it is likely that two nodes will randomly assign themselves the same number. In order to minimize, although still not eliminate, the risk of duplicate numbering, a typical implementation is to make the random number very large. Unfortunately, the node must routinely transmit this number in every communication, thus using a very large number via too many transmit tones results in additional energy consumption. What is needed is a method of identifying nodes in a network after installation and without using power-consuming random identification numbers.
Disclosure of Invention
Methods of acoustic communication and wells using the same are disclosed herein. The method generally uses an acoustic wireless network that includes a plurality of nodes spaced along the length of the tone transmission medium. According to a disclosed aspect, a method of communicating using a wireless network, such as an acoustic wireless network using one or more well components as a tonal transmission medium as described herein, is provided. A wireless transmission of a signal is received at a first node. The signal has a frequency signature and/or an amplitude signature, which in some aspects may be a time-based frequency signature and/or a time-based amplitude signature. The frequency signature and/or amplitude signature of the received signal is compared to the frequency signature and/or amplitude signature of a previously received signal. The received signal and the previously received signal are accepted as having been transmitted by the second node if it is determined that the frequency signature and/or the amplitude signature of the received signal is within a predetermined range of similarity to the frequency signature and/or the amplitude signature of the previously received signal.
Drawings
FIG. 1 is a schematic representation of a well configured to use a method according to the present disclosure.
Fig. 2 is a flow chart depicting a method of determining a dominant frequency of a received acoustic tone in accordance with the present disclosure.
FIG. 3 is a graph illustrating received amplitudes of a plurality of received acoustic tones as a function of time.
FIG. 4 is a graph illustrating the received amplitude of the acoustic tone from FIG. 3.
Fig. 5 is a graph illustrating a frequency variation of the received acoustic tone of fig. 4.
Fig. 6 is a table illustrating histogram data that may be used to determine the dominant frequency of the received acoustic tones of fig. 4-5.
Fig. 7 is a table illustrating a mechanism by which the dominant frequency of the acoustic tones of fig. 4-5 may be selected in accordance with the present disclosure.
Fig. 8A-8D depict digital representations of multiple histogram signatures of a received signal.
Fig. 9A-9F are amplitude diagrams illustrating unique patterns or signatures of received signals.
Fig. 10 is a flow diagram depicting a method of using acoustic tone signatures as network peer identification and self-organization in an acoustic wireless network.
Detailed Description
The following is a non-exhaustive list of definitions for several specific terms used in this disclosure (other terms may be defined or clarified elsewhere herein in an explicit manner). These definitions are intended to clarify the meaning of the terms used herein. It is believed that these terms are used in a manner consistent with their ordinary meaning, but are nevertheless defined herein for clarity.
As used herein, the term "and/or" placed between a first entity and a second entity means one of (1) the first entity, (2) the second entity, and (3) the first entity and the second entity. Multiple entities listed with "and/or" should be interpreted in the same way, i.e., "one or more" of the entities so combined. In addition to the entities specifically identified by the "and/or" clause, other entities may optionally be present, whether related or unrelated to those specifically identified. Thus, as a non-limiting example, when used in conjunction with open language such as "including," references to "a and/or B" may refer in one embodiment to only a (optionally including entities other than B); in another embodiment, to B only (optionally including entities other than a); in yet another embodiment, refer to both a and B (optionally including other entities). These entities may refer to elements, acts, structures, steps, operations, values, etc.
As used herein, the phrase "at least one" referring to a list of one or more entities should be understood to mean at least one entity selected from any one or more entities in the list of entities, but does not necessarily include at least one of each and every entity specifically listed in the list of entities, and does not exclude any combination of entities in the list of entities. This definition also allows for entities that may optionally be present other than the specifically identified entities in the list of entities referred to by the phrase "at least one," whether related or unrelated to those specifically identified entities. Thus, as a non-limiting example, "at least one of a and B" (or, equivalently, "at least one of a or B," or, equivalently "at least one of a and/or B") can refer in one embodiment to at least one, optionally including more than one, a, absent B (and optionally including an entity other than B); in another embodiment, to at least one, optionally including more than one, B, a is absent (and optionally includes an entity other than a); in yet another embodiment, at least one, optionally including more than one, a, and at least one, optionally including more than one, B (and optionally including other entities). In other words, the phrases "at least one," "one or more," and/or "are open-ended expressions that are both conjunctive and disjunctive in operation. For example, the expressions "at least one of A, B and C", "at least one of A, B or C", "one or more of A, B and C", "one or more of A, B or C", and "A, B and/or C" may denote any one of a alone, B alone, C, A and B together alone, a and C together, B and C together, A, B and C together, and optionally in combination with at least one other entity above.
In the case where any patent, patent application, or other reference is incorporated by reference herein and (1) defines a term in a manner that is inconsistent with either the unincorporated portion of the present disclosure or any other incorporated reference and/or (2) is otherwise inconsistent with either the unincorporated portion of the present disclosure or any other incorporated reference, the unincorporated portion of the present disclosure should predominate, and the term or incorporated disclosure therein should only be predominant over the reference in which that term is defined and/or in which the incorporated disclosure originally existed.
As used herein, the terms "adapted" and "configured" mean that an element, component, or other subject matter is designed and/or intended to perform a given function. Thus, use of the terms "adapted" and "configured" should not be construed to mean that a given element, component, or other subject matter is only "capable of" performing a given function, but rather that the element, component, and/or other subject matter is specifically selected, created, implemented, utilized, programmed, and/or designed to perform the function. It is within the scope of the present disclosure that elements, components, and/or other stated subject matter that are stated as being adapted to perform a particular function may additionally or alternatively be described as being configured to perform that function, and vice versa.
As used herein, the phrase "for example," the phrase "as an example" and/or the term "example" merely, when referring to one or more components, features, details, structures, embodiments, and/or methods according to the present disclosure, is intended to convey that the described components, features, details, structures, embodiments, and/or methods are illustrative, non-exclusive examples of components, features, details, structures, embodiments, and/or methods according to the present disclosure. Thus, the described components, features, details, structures, embodiments, and/or methods are not intended to be limiting, required, or exclusive/exhaustive; and other components, features, details, structures, embodiments, and/or methods (including structurally and/or functionally similar and/or equivalent components, features, details, structures, embodiments, and/or methods) are also within the scope of the present disclosure.
As used herein, "fluid" refers to gases, liquids, and combinations of gases and liquids, as well as combinations of gases and solids, and combinations of liquids and solids.
Fig. 1-10 provide examples of methods 200 and/or 1000 according to the present disclosure, and/or examples of wells 20 that include an acoustic wireless network 50 that may include and/or utilize these methods. Elements that serve a similar or at least substantially similar purpose are labeled with the same numeral in each of fig. 1-10, and such elements may not be discussed in detail herein with reference to each of fig. 1-10. Similarly, not all elements are labeled in each of fig. 1-10, but the reference numbers associated therewith may be used herein for consistency. Elements, components, and/or features discussed herein with reference to one or more of fig. 1-10 may be included in and/or used with any of fig. 1-10 without departing from the scope of the present disclosure. In general, elements that may be included in a particular embodiment are shown in solid lines, while optional elements are shown in dashed lines. However, elements shown in solid lines may not be necessary and, in some embodiments, may be omitted without departing from the scope of the disclosure.
Fig. 1 is a schematic representation of a well 20 configured to use methods 200 and/or 1000 according to the present disclosure. The well 20 includes a wellbore 30 extending within a subterranean zone 90. The wellbore 30 may also be referred to herein as extending within a subterranean formation 92 extending between the surface region 80 and the subterranean region 90 and/or extending within the subterranean region. Subterranean formation 92 may include hydrocarbons 94. Under these conditions, the well 20 may also be referred to herein as or may be a hydrocarbon well 20, a production well 20, and/or an injection well 20.
The well 20 also includes an acoustic wireless network 50. The acoustic wireless network may also be referred to herein as a downhole acoustic wireless network 50 and includes a plurality of nodes 60 spaced along a tonal transmission medium 100, the tonal transmission medium 100 extending along the length of the wellbore 30. In the context of the well 20, the tonal transmission medium 100 may include a downhole tubular 40 extendable within the wellbore 30, a wellbore fluid 32 extendable within the wellbore 30, a portion of the subterranean zone 90 proximate the wellbore 30, a portion of the subterranean formation 92 proximate the wellbore 30, and/or cement 34 extendable within the wellbore 30 and/or may extend within an annulus between the wellbore 30 and the downhole tubular 40. The downhole tubular 40 may define a fluid conduit 44.
The nodes 60 may include one or more encoding nodes 62 that may be configured to generate acoustic tones 70 and/or to introduce acoustic tones within the tone transmission medium 100. The nodes 60 may also include one or more decoding nodes 64, which may be configured to receive acoustic tones 70 from the tone transmission medium. A given node 60 may function as both an encoding node 62 and a decoding node 64 depending on whether the given node transmits acoustic tones (i.e., functions as an encoding node) or receives acoustic tones (i.e., functions as a decoding node). In other words, a given node may include both encoding and decoding functions or structures that are selectively used depending on whether the given node is encoding or decoding an acoustic tone.
In the well 20, the transmission of the acoustic tones 70 may be along the length of the wellbore 30. As such, transmission of acoustic tones may be linear, at least substantially linear, and/or directional, such as through the tone transmission medium 100. This configuration may be in contrast to more conventional wireless communication methods, which may generally transmit corresponding wireless signals in multiple directions or even in each direction.
Fig. 2 is a flow chart depicting a method 200 of determining a dominant frequency of received acoustic tones transmitted via a tone transmission medium using a histogram generated from the received acoustic tones in accordance with the present disclosure. Method 200 may be performed using any suitable structure or structures. As an example, the method 200 may be used by an acoustic wireless network (such as the acoustic wireless network 50 of fig. 1). Under these conditions, the method 200 may be used to communicate along the length of the wellbore 30.
The method 200 includes receiving a received acoustic tone at 210, estimating a frequency of the received acoustic tone at 220, and dividing a tone reception time into a plurality of time intervals at 230. The method 200 further includes calculating a frequency variation at 240, selecting a subset of the plurality of time intervals at 250, and averaging the plurality of discrete frequency values at 260. The method 200 may also include transmitting the transmitted acoustic tones at 270.
Receiving the received acoustic tones at 210 may include receiving with a decoding node of an acoustic wireless network. Additionally or alternatively, the receiving at 210 may include receiving and/or receiving a tone reception time from a tone transmission medium. The receiving at 210 may include receiving any suitable tone reception time. As an example, the tone reception time may be at least 1 microsecond, at least 10 microseconds, at least 25 microseconds, at least 50 microseconds, at least 75 microseconds, or at least 100 microseconds. The receiving at 210 may also include receiving at any suitable frequency or tone frequency. Examples of tone frequencies include frequencies of at least 10 kilohertz (kHz), at least 25kHz, at least 50kHz, at least 60kHz, at least 70kHz, at least 80kHz, at least 90kHz, at least 100kHz, at least 200kHz, at least 250kHz, at least 400kHz, at least 500kHz, and/or at least 600 kHz. Additionally or alternatively, the tone frequency may be at most 1 megahertz (MHz), at most 800kHz, at most 600kHz, at most 400kHz, at most 200kHz, at most 150kHz, at most 100kHz, and/or at most 80 kHz.
The receiving at 210 may include receiving with any suitable decoding node, such as decoding node 64 of fig. 1. Additionally or alternatively, the receiving at 210 may include receiving with an acoustic tone receiver. Examples of acoustic tone receivers include piezoelectric tone receivers, piezoresistive tone receivers, resonant MEMS tone receivers, non-resonant MEMS tone receivers, and/or receiver arrays.
An example of multiple received acoustic tones is illustrated in fig. 3, while an example of a single received acoustic tone is illustrated in fig. 4. Fig. 3-4 both illustrate the amplitude of a received acoustic tone as a function of time (e.g., tone reception time). As shown in fig. 3-4, the amplitude of the received acoustic tones may vary significantly during the tone reception time. Such variations may be caused by imperfections within the tone transmission medium and/or by tone transmission processes. These non-ideal examples are discussed herein and include acoustic tone reflection points within the tone transmission medium, generation of harmonics during the tone transmission process, ringing within the tone transmission medium, and/or changes in the velocity of the acoustic tone within the tone transmission medium. Collectively, these non-idealities may make it challenging to determine, accurately determine, and/or reproducibly determine the dominant frequency of the received acoustic tones, and the method 200 may facilitate such determination.
Estimating the frequency of the received acoustic tone at 220 may include estimating the frequency of the received acoustic tone as a function of time and/or during a tone reception time. This may include estimating a plurality of discrete frequency values received at a corresponding plurality of discrete times within the tone reception time, and may be done in any suitable manner.
By way of example, the received acoustic tones may include or be received sound waves having time-varying amplitudes over the tone reception time, as shown in fig. 3-4. The time-varying amplitude may define an average amplitude, and the estimating at 220 may include measuring a period time between the time-varying amplitude and the average amplitude (222), measuring a period of each cycle of the received sound wave (224), and/or measuring a plurality of zero-crossing times of the received sound wave (226).
The estimate at 220 mayFor generating a data set representing the frequency of the received acoustic tone as a function of time during the tone reception time. An example of such a data set is illustrated in fig. 5. As can be seen in FIG. 5, the frequency of the received acoustic tone includes regions of time where there is a relatively high amount of variation, such as from T in FIG. 50To T1And from T2To T3And time regions in which there is a relatively low amount of change, such as from T in fig. 51To T2The time zone of (a).
Dividing the tone reception time into a plurality of time intervals at 230 may include separating such that each time interval of the plurality of time intervals comprises a subset of the plurality of discrete frequency values received and/or determined during that time interval. Within the scope of the present disclosure, each of the plurality of time intervals may be less than a threshold fraction of the tone reception time. Examples of threshold portions of tone reception time include threshold portions of less than 20%, less than 15%, less than 10%, less than 5%, or less than 1%. In other words, the separation at 230 may include dividing the tone reception time into at least a threshold number of time intervals. Examples of the threshold number of time intervals include at least 5, at least 7, at least 10, at least 20, or at least 100 time intervals. It is within the scope of the present disclosure that the duration of each of the plurality of time intervals may be the same or at least substantially the same as the duration of each other of the plurality of time intervals. However, this is not required for all implementations, and the duration of one or more of the plurality of time intervals may be different from the duration of one or more other of the plurality of time intervals.
Calculating the frequency variation at 240 can include calculating any suitable frequency variation within each time interval and/or within each subset of the plurality of discrete frequency values. The calculation at 240 may be performed in any suitable manner and/or any suitable measure of variation or frequency variation may be calculated. As an example, the calculating at 240 may include calculating a statistical parameter indicative of variability within each subset of the plurality of discrete frequency values. As another example, the calculating at 240 may include calculating a range of frequencies within each subset of the plurality of discrete frequency values. As yet another example, the calculating at 240 can include calculating a standard deviation of frequencies for or within each subset of the plurality of discrete frequency values. As another example, the calculation at 240 may include scoring each subset of the plurality of discrete frequency values.
As yet another example, the calculation at 240 may include evaluating a margin, or evaluating a distinctiveness of a given frequency within a given time interval relative to other frequencies detected during the given time interval. This may include evaluating the distinctiveness using amplitude and/or probability densities and/or evaluating the distinctiveness using the difference between the amplitudes of the most common histogram element and the second most common histogram element over a given time interval.
As a more specific example, and when the calculating at 240 includes calculating a frequency range, the calculating at 240 may include dividing each subset of the plurality of discrete frequency values into intervals (bins) or separating into intervals (bins). This is shown in fig. 6. Wherein the number of times a given frequency is observed (i.e., represented by the interval 1-14) over a given time interval (i.e., represented by the time interval 1-10) is tabulated. A zero value for a given frequency interval-time interval combination indicates that the given frequency interval was not observed during the given time interval, while a non-zero number indicates the number of times the given frequency interval was observed during the given time interval.
Under these conditions, the calculation at 240 may include determining a span or range of frequency intervals. In the example of fig. 6, the uppermost interval including at least one count is interval 14, and the lowermost interval including at least one count is interval 11. Thus, as indicated, the span or range is 4.
Selecting a subset of the plurality of time intervals at 250 may include selecting a subset in which the frequency change determined during the calculation at 240 is less than a threshold frequency change. Experimental data indicate that a time interval with a frequency change less than a threshold frequency change represents a time interval more representative of the dominant frequency of the received acoustic tone. As such, the selection at 250 includes selectively determining which time interval is more representative of or likely to include the dominant frequency of the received acoustic tone, thereby reducing noise in the overall determination of the dominant frequency of the received acoustic tone.
The selection at 250 may include selecting a continuous range within the tone reception time or selecting two or more ranges spaced apart in time within the tone reception time. Additionally or alternatively, the selecting at 250 may include selecting at least 2, at least 3, at least 4, or at least 5 time intervals from a plurality of time intervals.
Additionally or alternatively, the selecting at 250 can include selecting such that a frequency variation within each successive subset of the plurality of discrete frequency values is reduced relative to a previous subset of the plurality of discrete frequency values and/or remains unchanged relative to the previous subset of the plurality of discrete frequency values.
An example of the selection at 250 is illustrated in fig. 6. In this example, time intervals spanning less than 10 are selected and highlighted in the table. These include time intervals 1, 4 and 5.
Averaging the plurality of discrete frequency values at 260 may include averaging and/or averaging over a subset of the plurality of time intervals selected during the selection at 250 to determine the dominant frequency of the received acoustic tone. The averaging at 260 may be done in any suitable manner. As an example, the averaging at 260 may include calculating a statistical parameter indicative of an average of a plurality of discrete frequency values within a subset of the plurality of time intervals. As another example, the averaging at 260 may include calculating an average, median, or mode value (mode value) of a plurality of discrete frequency values within a subset of the plurality of time intervals.
As a more specific example, and with reference to fig. 6-7, the averaging at 260 may include summing the intervals of the time interval selected during the selection at 250. As discussed, and using one criterion for the selection at 250, intervals 1, 4, and 5 in fig. 6 may be selected. The number of counts in these three intervals may then be added to arrive at fig. 7, and the interval with the most counts may be selected, which represents the most common or pattern frequency for the selected time interval. In the example of fig. 7, this may include selecting the interval 12 or the frequency of the interval 12 as the dominant frequency of the received acoustic tone.
Transmitting the transmitted acoustic tones at 270 may include transmitting with an encoding node of an acoustic wireless network. The transmission at 270 may be after or in response to the averaging at 260; and the transmission frequency of the transmitted acoustic tones may be based at least in part on or equal to the dominant frequency of the received acoustic tones. In other words, the transmission at 270 may include repeating or propagating the main frequencies of the received acoustic tones along the length of the tone transmission medium, such as to allow and/or facilitate communication along the length of the tone transmission medium.
According to an aspect of the present disclosure, acoustic telemetry packets may be transmitted from node to node along a casing in a wellbore. Fixed location nodes (e.g., hydrophones) may listen to telemetry progress in an acoustic wireless network and may record representations of received acoustic signals. Such a representation is colloquially referred to as a histogram or multi-histogram and may be generated as previously disclosed, or by the receiver algorithm upon receiving the telemetry packet by collecting the zero crossings interpreted in a time interval (e.g., an interval 1 millisecond long). Other means of analyzing the frequency and/or amplitude of the received acoustic signal may be used, such as: performing a fourier transform on the received acoustic signal; performing a Fast Fourier Transform (FFT) on the received acoustic signal; performing a discrete fourier transform on the received acoustic signal; performing a wavelet transform on the received acoustic signal; performing a multiple least squares analysis on the received acoustic signal; margin, span with Zero Crossing Rate (ZCR); with margins, spans, etc. of the Fast Fourier Transform (FFT). The process of identifying frequencies in a wireless network using histograms is described in co-pending and commonly owned U.S. patent application publication No.2018/058,204, the disclosure of which is incorporated herein by reference in its entirety.
As seen in fig. 8A-8D, each frequency transmitted by a given node has its own pattern of higher and lower ranked multi-histogram bins when received by a particular receiver. These patterns or signatures (which may be referred to as tone signatures, multi-histogram signatures, etc.) vary from node to node due to the physical variability (albeit small) of node assembly and installation, and may also be affected by the distance from the transmitting node to the receiving node. In addition, other non-ideal conditions that may affect the frequency signature and/or amplitude signature include acoustic tone reflection points within the tone transmission medium, generation of harmonics during the tone transmission process, ringing within the tone transmission medium, changes in the velocity of the acoustic tone within the tone transmission medium, specific placement and material properties (density, refractive index, etc.) of each transmit/receiver node pair for a unique distance. For example, fig. 8A shows a
By the specific arrangement of the distance and material properties (density, refractive index, etc.) unique to the transmit/receiver node pair, unique patterns or signatures exist not only in the time or frequency domain (as seen by the corresponding multi-histogram) but also in the amplitude domain due to the physical propagation of various acoustic patterns, as shown in fig. 9A-9F. Fig. 9A shows a time-based amplitude 902 of an acoustic signal from a transmitting node when received by a first receiving node. Both nodes are part of an acoustic wireless network associated with the wellbore and are attached to the casing of the wellbore. The first receiving node is located a few inches (centimeters) from the transmitting node, but on the opposite side of the casing, i.e., 180 degrees around the casing. Fig. 9B shows the time-based
Because the received patterns or signatures-whether in the time, frequency or amplitude domain-are unique and may be repeated for longer periods of time between a given set of transmitting/receiving nodes, multiple uses of these patterns or signatures may be derived. Furthermore, the unique reception pattern or signature is receiver specific. In other words, a signal from a first transmitting/receiving node to a second transmitting/receiving node will generate a pattern or signature that is different from the pattern or signature generated by a signal from the second transmitting/receiving node to the first transmitting/receiving node. The unique nature of the pattern or signature can be used to infer physical characteristics between two nodes.
Examples of uses of the disclosed aspects include the use of unique frequency and/or amplitude signatures to define links between signals defined between various nodes to form a network that is not subject to human intervention. Unique frequency and/or amplitude signatures may identify specific nodes and the defined nodes may be used to build a network. Such networks may be adapted over time and optimized on a packet-by-packet basis, or to adjust a changing physical environment, or by specific goals of network usage (such as minimizing energy usage between nodes or throughout the network, maximizing data rates, minimizing error rates, minimizing latency, guaranteeing worst-case data rates, guaranteeing worst-case latency, autonomously balancing energy usage across multiple nodes, autonomously balancing data transmission load, etc. signatures may also be used to infer physical characteristics between any two nodes, such as the varying nature of the transmission medium, which may be an acoustic transmission medium on the one hand, and unique signals may help determine networking parameters between each node in the network on a case-by-case basis, as described in commonly-owned U.S. patent application No.16/139,427, such parameters may include locally desired frequency bands or timing parameters that may be specifically tailored to a particular neighboring node that may be different from other nodes in the area, which patent application is incorporated by reference herein in its entirety.
In another aspect, a node may change its preferred communication partner to another node (at least in part) in response to a change indicated in the acoustic and/or frequency signature. Additionally or alternatively, the node may change one or more of its communication parameters (at least in part) in response to a change indicated in the signature. Such communication parameters may include ping time (i.e., the actual duration that a signal is transmitted), latency (i.e., a predetermined duration after the ping time that no signal is transmitted), symbol time (i.e., a duration equal to the sum of the ping time and its associated latency), transmission amplitude, error correction type, number of bits per tone, data compression type, communication link prioritization, communication band, modulation strategy, and so forth. These communication parameters may be selected for communication between two nodes, a group of nodes, or all nodes in the network.
In yet another aspect, communication link and/or network parameters may be changed or modified because the frequency signature and/or amplitude signature of the received signal is not expected. For example, a pair of nodes may be transmitting and receiving a series of signals. If the frequency signature and/or amplitude signature of one of the received signals expected to be transmitted from the receiving node or assumed to have been transmitted from the receiving node is not consistent with the signal previously received from the receiving node, the receiving node may change or modify the communication link and/or network parameter(s) to maintain or improve communication between the nodes and throughout the network.
In an additional aspect, the frequency signature and/or amplitude signature of the received signal may be used to establish a preferred signal traversal path along part or all of the network in terms of acoustic intensity rather than proximity. Such preferred signal paths may include various communication links and communication parameters at different locations along the network.
In yet another aspect of the present disclosure, once identified as coming from a particular transmitting node in the network, the frequency signature and/or amplitude signature of the received signal itself may be used as the unique identifier of the transmitting node. In this case, the sending node need not include a node identifier in the message or data being signaled; the signature is sufficient to identify the sending node. Thus, the signal can be used to transmit the actual information, thereby saving transmission power and time.
The change in the physical characteristics of the received signal over time can be indicated by recording the change in the pattern over time in a memory. Such recorded signal changes may be caused by changes in the physical environment and may therefore be used to determine changes in the physical environment, such as inclusions in the wellbore tubular, flow rates or flow regimes of inclusions, corrosion, perforations or other fractures in the tubular, changes in the thickness or eccentricity of the tubular, potential wellbore obstructions, and the like. The change in signal over time may also be the result of a hardware failure of the node or a drop in battery power. Recording and analyzing changes in signal characteristics over time may allow one to predict and mitigate node failures.
The unique frequency/amplitude signature of each node connection is influenced by its surroundings in the wellbore. By analyzing these signatures, it may be possible to use the on-board sensors of the nodes to determine which node is closest to the condition of interest to be sensed. Such conditions of interest may include wellbore perforation, wellbore inflow, wellbore plugging, re-injection operations, location of wireline or autonomous tools in the well, and the like.
The advantages of the disclosed aspects are numerous. For example, node identification and network assembly may occur without human intervention. Neighboring nodes may be determined by optimal acoustic strength rather than physical proximity. This allows for automatic assignment of non-sequential node identification at manufacture, and then the nodes can be installed on casing in any order, but during installation into a well, the nodes can be physically located for tracking using barcode scanning, RFID tags, and the like. Other adjacent pairs may be optimized on a packet-by-packet basis based on another objective, such as lowest energy usage, highest data (lowest error) rate, lowest latency, autonomous load balancing, etc.
Another advantage is that dynamic optimization of networking parameters and optimal communication partners can be performed on a case-by-case basis. Such optimization increases network scalability, thereby supporting operation of larger networks, e.g., in deeper wells. For example, the transmission characteristics of the neighboring nodes may indicate that at a particular time, the neighbors are not suitable for transmitting important or large packets.
Another advantage is that in extremely sensitive dynamic systems, changes in the physical characteristics of the received signal over time can be indicated by recording changes in the pattern over time in memory. Yet another advantage is that locally ideal frequency bands or timing parameters can be specifically tailored for a particular neighboring node, which may be different from other nodes in the area, as described in commonly owned U.S. patent application No.16/139,427 entitled "Method and System for Performing Operations with Communications" and filed on 2017, 10/13, the disclosure of which is incorporated herein by reference in its entirety.
Yet another advantage is that the disclosed wireless acoustic network can issue predictive trouble tickets that focus operator intervention on high-risk nodes. Yet another advantage is that the disclosed wireless acoustic network can use on-board sensors of the nodes to determine which node is closest to the condition of interest to be sensed.
Fig. 10 is a flow chart depicting a
The acoustic wireless networks and/or nodes thereof disclosed herein (including the acoustic wireless network 50 and/or node 60 of fig. 1) may include and/or be any suitable structure, device, and/or devices that may be adapted, configured, designed, constructed, and/or programmed to perform the functions discussed herein with reference to any of the methods disclosed herein. As an example, the acoustic wireless network and/or associated nodes may include one or more of an electronic controller, a dedicated computer, a display device, a logic device, a memory device, and/or a memory device with a computer-readable storage medium.
The computer-readable storage medium (when present) may also be referred to herein as a non-transitory computer-readable storage medium. Such non-transitory computer-readable storage media may include, define, contain, and/or store computer-executable instructions, programs, and/or code; and these computer-executable instructions may instruct the acoustic wireless network and/or nodes thereof to perform any suitable portion or subset of any of the methods disclosed herein. Examples of such non-transitory computer-readable storage media include: CD-ROM, diskette, hard drive, flash memory, etc. As used herein, storage, or memory, devices, and/or media having computer-executable instructions, as well as computer-implemented methods and other methods according to the present disclosure, according to section 101 of chapter 35 of the united states code, are considered to be within the scope of the subject matter regarded as patentable.
In this disclosure, several illustrative, non-exclusive examples have been discussed and/or presented in the context of flow diagrams, where the method is shown and described as a series of blocks or steps. Unless specifically set forth in the accompanying description, the order of the blocks may be different from that shown in the flowchart, including when two or more blocks (or steps) occur in different orders and/or concurrently, and remain within the scope of the disclosure. It is within the scope of the present disclosure that blocks or steps may be implemented as logic and that logic may also be described as implementing blocks or steps as logic. In some applications, a block or step may represent an expression and/or an action performed by a functionally equivalent circuit or other logic device. The illustrated blocks may, but need not, represent executable instructions that cause a computer, processor, and/or other logic device to respond, perform an action, change state, generate an output or display, and/or make a decision.
INDUSTRIAL APPLICABILITY
The wells and methods disclosed herein are suitable for use in the acoustic wireless communications, hydrocarbon exploration, and/or hydrocarbon production industries.
The above disclosure is believed to cover a number of different inventions with independent utility. While each of these inventions has been disclosed in its preferred form, the specific embodiments thereof as disclosed and illustrated herein are not to be considered in a limiting sense as numerous variations are possible. The subject matter of the inventions includes all novel and non-obvious combinations and subcombinations of the various elements, features, functions and/or properties disclosed herein. Similarly, where the claims recite "a" or "a first" element or the equivalent thereof, such claims should be understood to include incorporation of one or more such elements, neither requiring nor excluding two or more such elements.
It is believed that the following claims particularly point out certain combinations and subcombinations directed to one of the disclosed inventions and are novel and non-obvious. Inventions embodied in other combinations and subcombinations of features, functions, elements, and/or properties may be claimed through amendment of the present claims or presentation of new claims in this or a related application. Such amended or new claims, whether they are directed to a different invention or directed to the same invention, whether different, broader, narrower or equal in scope to the original claims, are also regarded as included within the subject matter of the inventions of the present disclosure.
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