CN106130562A - Logging-while-drilling data real-time compression method and decompression method - Google Patents
Logging-while-drilling data real-time compression method and decompression method Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 56
- 238000007906 compression Methods 0.000 title claims abstract description 38
- 230000006835 compression Effects 0.000 title claims abstract description 38
- 238000005553 drilling Methods 0.000 title abstract description 12
- 230000006837 decompression Effects 0.000 title abstract description 9
- 238000013139 quantization Methods 0.000 claims abstract description 76
- 230000005540 biological transmission Effects 0.000 claims abstract description 20
- 238000005259 measurement Methods 0.000 claims abstract description 11
- 238000011084 recovery Methods 0.000 claims description 9
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- 238000004364 calculation method Methods 0.000 claims description 4
- 238000009825 accumulation Methods 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 238000004321 preservation Methods 0.000 claims description 2
- 238000013144 data compression Methods 0.000 description 19
- 238000005516 engineering process Methods 0.000 description 8
- 238000012546 transfer Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 4
- 238000010276 construction Methods 0.000 description 3
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
- H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/12—Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling
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Abstract
The invention discloses a real-time compression method and a decompression method for logging-while-drilling data, wherein the compression method comprises the following steps: designing a multi-resolution quantization model according to the self characteristics of specific measurement data, and making a quantization list; calculating a difference value of adjacent data, and performing quantization error compensation on the difference value; quantizing the compensated difference value by using a quantization list to obtain an optimal quantization value and coordinates thereof in the quantization list; and finally, storing the obtained coordinate values into a compressed file or carrying out real-time transmission. The invention realizes the real-time compression of logging-while-drilling data; meanwhile, the compression and decompression processes designed by the invention have good rapidity and can meet the requirement of real-time data transmission.
Description
Technical field
The present invention relates to a kind of data processing technique, the compression to Real-time Logging data of a kind of drill rod telemetry system
With decompression method.
Background technology
Along with the development of oil drilling technology, (Logging While Drilling is called for short logging while drilling technology
LWD) more and more concern and application is obtained.Compared to MWD technology, the parameter that LWD uploads in real time is more, not only includes surveying in real time
The hole angle of amount, azimuth, the engineering parameter such as tool face azimuth, also real-time Transmission resistivity, natural gamma, neutron porosity, close
The geologic parameter measured in the conventional loggings such as degree.LWD technology can be real-time measure the engineering parameter of down-hole and geologic parameter, and
By data remote transmission system, real-time for underground survey information is sent to ground.Site operation personnel can be according to well logging during number
According to the engineering information judging down-hole promptly and accurately and geological information, in order to adjust construction parameter in time, it is ensured that drilling tool is most
Possible creeps into according to planned course.The appearance of LWD technology substantially increases the decision-making capability of on-the-spot drilling well.
At present, mud-pulse transmission is the data transfer mode that drill rod telemetry system commonly uses.
As it is shown in figure 1, the measurement sensing of the workflow of LWD system based on mud-pulse transmission, first downhole instrument
Device carries out data acquisition (step 101) to engineering parameter and the real-time geologic parameter of drilling well；Downhole instrument is controlled the volume in circuit
Code system carries out chnnel coding process (step 102) to the data measuring sensor acquisition；The driving electricity of downhole pulser
Road is according to coding drive-pulse generator work (step 103)；The mud-pressure pulses that down-hole pulser produces is along mud system
System transmits to ground (step 104)；Mud pressure pulse signal is detected, filters by the signal detection on ground and processing system
With extraction (step 105)；The signal extracted is decoded processing (step 106) by the code system that solves of GDHS；
Finally the data of decoding are exported the display interface (step 107) of field instrumentation.The data acquisition of LWD system, data process,
The chnnel coding of data and the work of driving pulse device are completed by downhole instrument.Downhole instrument is to be operated in high temperature, high pressure, strong
Under vibration environment, and down-hole narrow space, the power resources of instrument work are restricted.Factors determines downhole instrument
The feature that low-power consumption, computing capability are weak.
Well logging during data are confined to the observation measurements to formation information, only provide and stratum is carried out qualitative analysis depend on
According to, as a example by resistivity, as in figure 2 it is shown, be the resistivity curve of real-time Transmission during site operation, due to formation parameter
Seriality, the data and curves on same stratum the most also has seriality, and the difference between consecutive number strong point is not too large, and data are often
Being fluctuation (such as 201 and 203 region in figure) within the specific limits, site operation personnel can according to the approximate range of resistivity value
It is in any rock stratum with concrete judgement.When running into bed boundary, data can be undergone mutation in (such as 202 regions in figure), and scene is executed
Workman person judges the degree of depth of roch layer interface according to well depth during data generation saltus step, judge according to the magnitude of data jump be
The interface of any two kinds of rock stratum.Site operation personnel are concerned with its concrete numerical values recited when geologic parameter change is steady,
When parameter is undergone mutation more focused data variation tendency and change magnitude.The real-time downhole data of LWD system side amount is
Site operation personnel provide reference qualitatively, require real-time property, higher than data accuracy requirement, therefore to allow number
According to there being a certain degree of distortion, especially when data are undergone mutation, what site operation personnel paid close attention to is more data sudden changes
Trend and magnitude, in other words, can be some higher to the tolerance of data distortion when data are suddenlyd change.
Mud-pulse transmission technology transfer rate is on the low side, is difficult to meet multiparameter well logging during real-time data transmission requirement,
Become the bottleneck of restriction logging while drilling technology development.Downhole data is compressed processing the weight being to improve transfer rate
Want approach.
The data of Chinese patent application 201110162446.0 disclosure " a kind of Frame storage method of logging while drilling apparatus "
Compression and storage method, it is proposed that the not data of storage switch pump signal itself, and use timer to calculate switch pump number of times also
Stored the method saving downhole data memory space.This is to propose domestic first time with boring data compression concept, but
The method simply carries out frame storage to switch pump signal, measured data is not carried out Real Time Compression and transmission.
Chinese patent application 201310139448.7 disclosure " the data compression side of a kind of well logging during mud-pulse transmission
Method ", first group of data collecting as base value, and are carried out coding and upload by the method, then second and third ..., N group number
Value carries out seeking difference operation with base value respectively, difference is reached ground and has reached the purpose of data compression.The method is steady to change
Data compression effects preferable, but bad for accidental data compression effectiveness.When downhole tool face plays pendulum,
Tool face azimuth can acutely be shaken, and now the method not only will not play compression effectiveness, and data volume can be made on the contrary to increase.
Summary of the invention
In order to overcome the defect of above-mentioned prior art, the present invention is from on-the-spot actual demand, it is proposed that a kind of with boring survey
Well data real-time compression method and decompression method, in the case of channel transfer capability is constant, improve well logging during data
Transfer rate.
In order to solve above-mentioned technical problem, the technical solution used in the present invention is:
The data compression technique scheme that the present invention provides mainly includes following operation:
Step (1): according to the site operation required precision to compressed data, design is differentiated quantitative model more, and formulated
Quantify list；
Step (2): read in data according to the sequencing gathered；
Step (3): carry out seeking difference operation by previous with it for the real time data of reading data；
Step (4): the difference calculated in step (3) is carried out quantization error compensation；
Step (5): the difference after compensating with quantify list contrast, it is thus achieved that the optimal quantization value of difference and quantifying row
Coordinate in table；
Step (6): calculate and store the quantization error of introducing；
Step (7): the coordinate figure obtained in step (5) is carried out coding transmission or preserves to compressed file.
The measurement data that such scheme is suitable for includes geologic parameter data and engineering parameter data；
Such scheme is that the data to the same parameters that different time is measured are compressed；
In such scheme, described step (1) farther includes following steps:
(1-1) the span [-δ of the difference between adjacent data is determined according to the measurement scope measuring sensormax,
δmax], in addition it is also possible to judge the scope of this Parameters variation according to early stage geological prospecting data, and then determine the value model of difference
Enclose；
(1-2) according to site operation demand, the span of difference is divided into N number of interval: [-δ1,δ1], [-δ2,-δ1)
U(δ1,δ2], [-δ3,-δ2)U(δ2,δ3] ... .., [-δmax,-δN-1)U(δN-1,δmax]；Can the most freely set
The number of meter institute demarcation interval and the concrete scope in each interval；
(1-3) according to the site operation required precision to compressed data, to the N number of interval amount of carrying out in step (1-2)
Change processes, and the quantization step arranged in each interval is respectively as follows:
Q1, Q2, Q3...., QN, when well logging during data variation is mild, field personnel is concerned with the tool of data
Body numerical value, is more to pay close attention to its variation tendency and change magnitude when data fluctuations is bigger, therefore can arrange quantization step
Length meets following condition: Q1<Q2<Q3<....<QN；
(1-4) arrange the data that compressing original data is β bit, the determination of β value and number N of demarcation interval and every
The individual interval quantization step arranged is relevant, it may be assumed that
Wherein δNEqual to δmax, δ0It is 0；
(1-5) formulation quantization list, and determine the coordinate of each quantized value, coordinate figure can be taken as: 0,1,2, L, 2β-1
In such scheme, in described step (1), according to site operation, the specific requirement of measurement data can be designed not
Same quantization parameter: N value, QiValue and β value.This makes this technical scheme more flexible, efficient.Additionally, N value, QiValue and β value these three
The relation of mutually restriction is there is again between quantization parameter.At design subregion number N and the quantization step Q in each intervaliTime want fully
Considering on-the-spot actual demand, quantization step is the least, then quantify the finest, and the quantization error of introducing also can be the least, but point of quantification meeting
Increasing, data compression ratio can reduce, it is therefore desirable to considers each side factor, finds between data compression ratio and quantization error
Optimal balance point, on the premise of having reached not affect site operation, improves the purpose of compression ratio to greatest extent；
In such scheme, the purpose of described step (1-2) and step (1-3) is: first, carries out the intensity of variation of data
One anticipation, is N number of interval (step 1-2) by the amplitude of variation man-made division of data；Secondly, to different interval employing differences
Quantified precision, when data variation is mild, quantization step is less, quantifies relatively fine, therefore introduces due to data compression
Quantization error is the least.When data variation is violent, quantization step strengthens therewith, quantifies the most coarse, and this mainly considers
The actual demand of site operation personnel: be more concerned with the real-time of data, and the variation tendency of data when data are suddenlyd change
And magnitude, now can be some higher to the tolerance of data distortion.
In such scheme, farther include after reading in data in described step (2): determine whether first data,
If it is not, then carry out step (3)；Otherwise, (wherein BaseData use in BaseData is given first data as base value
In storage base value data), Error is set to 0 (wherein Error is used for storing quantization error value) simultaneously, finally by the first number
According to coding, upload, first data is not compressed by the program；
In such scheme, including in described step (3):
(3-1) real time data (setting real time data as CurrentData) read in step (2) is deposited in BaseData
The base value data of storage carry out asking difference operation, acquisition difference Diff:
Diff=CurrentData-BaseData；
(3-2) real time data read in step (2) is given in BaseData as new base value, replace BaseData
In original numerical value, when being compressed next data, this numerical value will be applied in step (3) as base value；
In such scheme, described step (4) including: difference and the quantization of storage in Error that will obtain in step (3)
Error amount carries out asking difference operation, and then compensates the quantization error introduced in each data compression process, after being compensated
Difference Diff_EC:
Diff_EC=Diff-Error.
By this kind of method, the accumulation of quantization error can be eliminated, even if when initial data generation big ups and downs, also can
Ensure that the variation tendency of data and the variation tendency of initial data keep highly consistent, to meet site operation need after overcompression
Ask；
In such scheme, described step (5) including:
Difference after compensating compares with the quantized value quantified in list, finds quantized value immediate with it, will
It is set to optimal quantization value Qi, and obtain the coordinate of this quantized value；
In such scheme, described step (6) including:
The quantization error value introduced in calculation procedure (5), and given in Error, replace original number in Error
According to, i.e. new value in Error is:
Error=Qi-Diff_EC。
When next data are compressed, this quantization error is applied in step (4)；
In such scheme, it is that the coordinate to optimal quantization value carries out coding transmission or preserves to pressure in described step (7)
Contracting file rather than optimal quantization value is carried out coding transmission or preservation；
A kind of method decompressing the data stream after above-mentioned data real-time compression method compression, including walking as follows
Rapid:
Formulating and quantify list, this quantization list is identical with the quantization list used during data compression；
Input compressed data stream, it may be judged whether be first data, the most direct these data of output display, and should
Data give ValueBaseData, if it is not, then perform following steps；
With the compression data value of input as coordinate, search the concrete numerical value quantified in list corresponding to this coordinate, this numerical value
It is the optimal quantization value of real time data and previous data difference；
By quantized value and ValueBaseDataData are added the recovery value after being decompressed；
Value is given by recovery valueBaseDataIn, substitute ValueBaseDataMiddle legacy data；
Output recovery value.
Compared with prior art, it is an advantage of the current invention that:
The method of the invention, can be according to the own characteristic of compressed data and the free design flow of site operation demand
Change parameter and quantitative model, greatly improve the motility of data compression；
The method of the invention, is main algorithm in the hope of difference operation and simple table lookup operations, and this algorithm is simple, easily real
Existing, it is possible to meet low in energy consumption, the requirement that computing capability is weak of downhole instrument during measurement while drilling, the program practical,
Additionally, due to algorithm is simple, data are compressed with to decompress the time used shorter, it is possible to meet well logging during data real
Time transmission requirement；
The method of the invention, is applicable not only to the data compression to the geologic parameter such as resistivity, natural gamma, the most also
It is applicable to the data compression to engineering parameter (such as tool face azimuth), applied widely；
The method of the invention, is not limited solely to the real-time data compression to drill rod telemetry system, it is also possible to other
The data that there is significant change trend are compressed.
Accompanying drawing explanation
Fig. 1 is the workflow diagram of the LWD system that prior art is transmitted based on mud-pulse.
Fig. 2 is the resistivity curve of real-time Transmission during prior art site operation.
Fig. 3 is the flow chart of well logging during data real-time compression method of the present invention.
Fig. 4 is multi-stage quantization step-length schematic diagram of the present invention (as a example by N is equal to 3).
Fig. 5 is the flow chart of well logging during data real-time decompression method of the present invention.
Detailed description of the invention
In order to give farther insight into the present invention, below in conjunction with accompanying drawing to the detailed description of the invention of the present invention and operation principle
It is described in detail.
As it is shown on figure 3, be the flow chart of well logging during data real-time compression method of the present invention.
A kind of well logging during data real-time compression method, specifically comprises the following steps that
Step 301: according to the site operation required precision to compressed data, design is differentiated quantitative model more, and formulated
Quantifying list, concrete quantitative model design procedure is as follows:
(301-1) the span [-δ of the difference between adjacent data is determined according to the measurement scope measuring sensormax,
δmax], in addition it is also possible to judge the scope of this Parameters variation according to early stage geological prospecting data, and then determine the value model of difference
Enclose；
(301-2) according to site operation demand, the span of difference is divided into N number of interval: [-δ1,δ1], [-δ2,-
δ1)U(δ1,δ2], [-δ3,-δ2)U(δ2,δ3] ... .., [-δmax,-δN-1)U(δN-1,δmax]；Can as the case may be freely
The number of design institute demarcation interval and the concrete scope in each interval；
(301-3) according to the site operation required precision to compressed data, the N number of interval in step (1-2) is carried out
Quantification treatment, the quantization step arranged in each interval is respectively as follows:
Q1, Q2, Q3...., QN, and quantization step is set meets following condition:
Q1<Q2<Q3<....<QN；
As shown in Figure 4, for multi-stage quantization step-length schematic diagram (as a example by N is equal to 3)；
(301-4) arrange the data that compressing original data is β bit, the determination of β value and number N of demarcation interval and
Each interval quantization step arranged is relevant, it may be assumed that
Wherein δNEqual to δmax, δ0It is 0；
(301-5) formulation quantization list, and determine the coordinate of each quantized value, coordinate figure can be taken as: 0,1,2, L, 2β-
1
In actual applications, according to site operation the specific requirement of measurement data designed different quantization parameter: N value, Qi
Value and β value.N value, QiThe relation of mutually restriction is there is again between value and β value these three quantization parameter.In design subregion number N with every
The concrete quantization step Q in individual intervaliTime to take into full account on-the-spot actual demand, quantization step is the least, then quantify the finest, introduces
Quantization error also can be the least, but point of quantification can increase, and data compression ratio can reduce, and three concrete values quantifying parameters need
Take into full account the construction demand at scene, between data compression ratio and quantization error, find optimal balance point, reached not affect now
On the premise of the construction of field, improve the purpose of compression ratio to greatest extent；
Step 302: read in data according to the sequencing gathered；
Step 303: judge whether the data read in are first data, if first data, then performs step 304
With step 305；
Step 304: first data is given in BaseData (BaseData is used for storing base value data) as base value,
Error is set to 0 (Error is used for storing quantization error value) simultaneously.Continue executing with step 305；
Step 305: by first data encoding, upload, first data is not compressed by the program.Continue executing with step
Rapid 312；
If judging in step 303, reading in data is not first data, performs step 306 to step 311；
Step 306: by the real time data (setting real time data as CurrentData) read in step 302 and BaseData
The base value data of middle storage carry out asking difference operation, acquisition difference Diff:
Diff=CurrentData-BaseData；Then proceed to perform step 307；
Step 307: the real time data read in is given in BaseData as new base value, replaces in BaseData original
Numerical value, when being compressed next data, this numerical value will be applied in step 306 as base value.Continue executing with step
308；
Step 308: carry out seeking difference operation with the quantization error value of storage in Error by the difference obtained in step 306, enter
And the quantization error introduced in each data compression process is compensated, difference Diff_EC after being compensated:
Diff_EC=Diff-Error.
This kind of method can eliminate the accumulation of quantization error.Continue executing with step 309；
Step 309: difference Diff_EC after compensating compares with the quantized value in quantization list, finds with it
Close quantized value, is set to optimal quantization value Qi, and obtain the coordinate of this quantized value.Continue executing with step 310；
Step 310: the quantization error value introduced in calculation procedure 309, and given in Error, replace Error Central Plains
New value in some data, i.e. Error is:
Error=Qi-Diff_EC。
When next data are compressed, this quantization error is applied in step 308.Continue executing with step 311；
Step 311: the coordinate of optimal quantization value is carried out coding transmission or preserves to compressed file.Continue executing with step
312；
Step 312: judge whether that also data need compression, if having, then repeated execution of steps 302 to step 312；If not yet
Have, then compression terminates.
A kind of method that data stream after above-mentioned data real-time compression method compression is decompressed, as shown in Figure 5
For decompressing flow chart, specifically include following steps:
Step 501: formulate and quantify list, this quantization list is identical with the quantization list used during data compression.Continue
Continuous execution step 502；
Step 502: input compressed data stream.Continue executing with step 503；
Step 503: judge to read in whether data are first data, the most then perform step 504 and step 505；
Step 504: data will be read in and give ValueBaseData.Continue executing with step 505；
Step 505: data are directly exported.Continue executing with step 510；
If judging in step 503, reading in data is not first data, then perform step 506 to 509；
Step 506: with the compression data value of input as coordinate, searches the concrete number quantified in list corresponding to this coordinate
Value, this numerical value is the optimal quantization value of real time data and previous data difference.Continue executing with step 507；
Step 507: by quantized value and ValueBaseDataData are added the recovery value after being decompressed.Continue executing with step
508；
Step 508: give Value by recovery valueBaseDataIn, substitute ValueBaseDataMiddle legacy data.Continue executing with step
Rapid 509；
Step 509: output recovery value.Continue executing with step 510；
Step 510: judge whether that also data need to decompress, if having, then repeated execution of steps 502 to step 510；If
No, then decompression terminates.
A kind of well logging during data Real Time Compression of the present invention and decompression method, be not limited to description and reality
Executing listed in mode utilization, it can be used for the field of the various applicable present invention.Those of ordinary skill in the art should manage
Solve, technical scheme can be modified or equivalent, without deviating from technical solution of the present invention spirit and
Scope, it all should be contained in the middle of scope of the presently claimed invention.
Claims (9)
1. a well logging during data real-time compression method, it is adaptable to the drill rod telemetry system Real Time Compression to measurement data, its
It is characterised by, comprises the steps:
Step (1): according to the site operation required precision to compressed data, design is differentiated quantitative model more, and formulated quantization
List；
Step (2): read in data according to the sequencing gathered；
Step (3): carry out seeking difference operation by previous with it for the real time data of reading data；
Step (4): the difference calculated in step (3) is carried out quantization error compensation；
Step (5): the difference after compensating with quantify list contrast, it is thus achieved that the optimal quantization value of difference and in quantifying list
Coordinate；
Step (6): calculate and store the quantization error of introducing；
Step (7): the coordinate figure obtained in step (5) is carried out coding transmission or preserves to compressed file.
Well logging during data real-time compression method the most according to claim 1, it is characterised in that bag in described step (1)
Include following steps:
(1-1) the span [-δ of the difference between adjacent data is determined according to the measurement scope measuring sensormax,δmax], or
Judge the scope of this Parameters variation according to early stage geological prospecting data, and then determine the span of difference；
(1-2) according to site operation demand, the span of difference is divided into N number of interval: [-δ1,δ1], [-δ2,-δ1)U(δ1,
δ2], [-δ3,-δ2)U(δ2,δ3] ... .., [-δmax,-δN-1)U(δN-1,δmax]；
(1-3) according to the site operation required precision to compressed data, the N number of interval in step (1-2) is carried out at quantization
Reason, the quantization step arranged in each interval is respectively as follows:
Q1, Q2, Q3...., QN；
(1-4) arrange the data that compressing original data is β bit, the determination of β value and number N of demarcation interval and each district
Between arrange quantization step relevant, it may be assumed that
Wherein δNEqual to δmax, δ0It is 0；
(1-5) formulating quantization list, and determine the coordinate corresponding to each quantized value, coordinate figure can be taken as: 0,1,2, L, and 2β-
1。
Well logging during data real-time compression method the most according to claim 1, it is characterised in that read in described step (2)
Farther include after entering data: determine whether first data, if it is not, then carry out step (3)；Otherwise, by first
Data give in BaseData as base value, and wherein BaseData is used for storing base value data, Error is set to 0, wherein simultaneously
Error is used for storing quantization error value, finally by first data encoding, upload.
Well logging during data real-time compression method the most according to claim 3, it is characterised in that bag in described step (3)
Include:
(3-1) real time data read in calculation procedure (2) and the difference of the data of storage in BaseData；
(3-2) real time data read in step (2) is given in BaseData as new base value, replace BaseData Central Plains
Some numerical value.
Well logging during data real-time compression method the most according to claim 4, it is characterised in that bag in described step (4)
Include: carry out seeking difference operation with the quantization error value of storage in Error by the difference obtained in step (3), quantization error is carried out
Compensate, and then eliminate the accumulation of quantization error.
Well logging during data real-time compression method the most according to claim 5, it is characterised in that described step (5) including:
Difference after the compensation that will obtain in step (4) compares with the quantized value quantified in list, finds amount immediate with it
Change value, is set to optimal quantization value, and is obtained the coordinate of this quantized value.
Well logging during data real-time compression method the most according to claim 6, it is characterised in that described step (6) including:
The quantization error value introduced in calculation procedure (5), and is given in Error, original data in replacement Error, under
When one data is compressed, this quantization error is applied in step (4).
Well logging during data real-time compression method the most according to claim 6, it is characterised in that described step in (7) is
The coordinate of the optimal quantization value obtained in step (5) is carried out coding transmission or directly preserves to compressed file rather than to
Good quantized value carries out coding transmission or preservation.
9. the data stream after the data real-time compression method compression to utilizing as described in any one of claim 1-8 solves
Compression method, it is characterised in that comprise the steps:
Formulate the quantization list identical with data compressing step (1)；
Input compressed data stream, it may be judged whether be first data, if so, direct these data of output display, and these data are composed
Give ValueBaseData, if it is not, then perform following steps；
With the compression data of input as coordinate, searching the concrete numerical value quantified in list corresponding to this coordinate, this numerical value is reality
Time data and previous data difference optimal quantization value；
By quantized value and ValueBaseDataData are added the recovery value after being decompressed；
Value is given by recovery valueBaseDataIn, substitute ValueBaseDataMiddle legacy data；
Output recovery value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610430622.7A CN106130562B (en) | 2016-06-15 | 2016-06-15 | Logging-while-drilling data real-time compression method and decompression method |
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| CN109356570A (en) * | 2018-11-22 | 2019-02-19 | 长江大学 | The transmission method and equipment of drilling guidance parameter |
| CN109653733A (en) * | 2018-11-22 | 2019-04-19 | 长江大学 | The down transmission method and equipment of drilling guidance parameter |
| CN110691378A (en) * | 2019-10-10 | 2020-01-14 | 西安天科铭创石油技术服务有限公司 | MWD data wireless transmission method and system |
| CN111101892A (en) * | 2020-02-05 | 2020-05-05 | 电子科技大学 | Shale gas horizontal well shaft pressure test and toe end sliding sleeve starting combined method |
| CN115664601A (en) * | 2022-12-28 | 2023-01-31 | 合力（天津）能源科技股份有限公司 | Wireless measurement while drilling information transmission method |
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| CN111101892A (en) * | 2020-02-05 | 2020-05-05 | 电子科技大学 | Shale gas horizontal well shaft pressure test and toe end sliding sleeve starting combined method |
| CN115664601A (en) * | 2022-12-28 | 2023-01-31 | 合力（天津）能源科技股份有限公司 | Wireless measurement while drilling information transmission method |
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