CN107505665B - A kind of stratigraphic anormaly earthquake detection method based on window Fourier transform - Google Patents

A kind of stratigraphic anormaly earthquake detection method based on window Fourier transform Download PDF

Info

Publication number
CN107505665B
CN107505665B CN201710553015.4A CN201710553015A CN107505665B CN 107505665 B CN107505665 B CN 107505665B CN 201710553015 A CN201710553015 A CN 201710553015A CN 107505665 B CN107505665 B CN 107505665B
Authority
CN
China
Prior art keywords
frequency
window
seismic
standard
fourier transform
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201710553015.4A
Other languages
Chinese (zh)
Other versions
CN107505665A (en
Inventor
陈同俊
马丽
冯西会
高阳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shaanxi Coal Geology Group Co ltd
China University of Mining and Technology CUMT
Original Assignee
Shaanxi Coal Geology Group Co ltd
China University of Mining and Technology CUMT
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shaanxi Coal Geology Group Co ltd, China University of Mining and Technology CUMT filed Critical Shaanxi Coal Geology Group Co ltd
Priority to CN201710553015.4A priority Critical patent/CN107505665B/en
Publication of CN107505665A publication Critical patent/CN107505665A/en
Application granted granted Critical
Publication of CN107505665B publication Critical patent/CN107505665B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V11/00Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/30Analysis
    • G01V1/301Analysis for determining seismic cross-sections or geostructures
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/61Analysis by combining or comparing a seismic data set with other data

Abstract

The stratigraphic anormaly earthquake detection method based on window Fourier transform that the invention discloses a kind of, comprising the following steps: identified on seismic profile first in the study area, track reflection line-ups corresponding to target zone;Secondly the parameter of research area's seismic trace signal Fourier transformation is determined;Choosing seismic channel corresponding to normal stratum again is standard track, and the earth shock signal of the standard track is denoted as f (t), calculates its Frequency response F (ω);Selection Center frequency is respectively ω1And ω2Bell window, calculate ω2And ω1Frequency response than a ξ;Then for non-standard seismic channel, successively calculate its time-domain earth shock signal f'(t) Frequency response F'(ω);Selection Center frequency is respectively ω1And ω2Bell window, calculate ω2And ω1Frequency response than two ξ ';Finally for all seismic channels in research area, size, that is, indicative purpose layer exception of percentage η, η that the difference for calculating ξ ' and ξ accounts for ξ are strong and weak.Advantage: methodological science, simple and direct;As a result quantitative, intuitive.

Description

A kind of stratigraphic anormaly earthquake detection method based on window Fourier transform
Technical field
The present invention relates to a kind of earthquake detection method of stratigraphic anormaly, especially a kind of ground based on window Fourier transform Layer Unusual Seismic detection method.
Background technique
In many coal mining enterprises of China, due to the influence of the factors such as depositional environment and tectonic movement, main mining coal seam and The lithology on top plate stratum, which exists, washes away the stratigraphic anormalies such as area.Due to washing away the stratigraphic anormalies such as area and normally the lithology difference of interlayer Obviously, the elasticity modulus on abnormal stratum and the elastic modulus difference on normal stratum are obvious.In coal seam when back production, this elasticity modulus Difference may cause the disturbance of underground stress field, form stress concentration region, jeopardize the safety of coal back production.Therefore, for For coal seam and its top plate stratum, whether stable relation is safe to coal back production for lithology, most important.If can be The lithology anomalous variation that coal seam and its top plate stratum are accurately grasped before coal back production can take control measure in advance, reduce coal A possibility that stress associated power disaster occurs in charcoal exploitation process is conducive to the safety for improving the shaft productions such as coal mine.
For the detection method in coal seam and its top plate stratigraphic anormaly, current most popular method is seismic properties Method and amplitude are examined with coal away from variation (AVO) method.It is general by extracting purpose in seismic profile for earthquake attribution method The information predictions stratigraphic anormalies such as amplitude, frequency and the phase of layer back wave, have the characteristics that fast and efficiently.But work as pendage When, extracted back wave seismic properties will receive the influence of buried depth of strata, and when prediction is difficult to distinguish target zone exception and buried depth It is abnormal.AVO method is also to be had the characteristics that high-precision using more common formation lithology prediction technique at present.But due to it Data input is prestack common point (CMP) trace gather, and calculation amount when prediction is much larger than seismic properties method, and efficiency is lower.
For the coal seam of required detection and its top plate stratum, stratigraphic anormaly and buried depth may be simultaneously present.If Buried depth of strata is different, and identical stratum is likely to be obtained the seismic properties such as different amplitudes, frequency and phase.If directly using upper Seismic properties detection stratigraphic anormaly is stated, may be derived a wrong conclusion.For the target zone back wave of a certain buried depth, no Response relativeness with frequency range is held essentially constant.Can by comparison different frequency range response between relative size, The stratigraphic anormaly of testing goal layer overcomes the influence of buried depth of strata.
Summary of the invention
Goal of the invention: in order to overcome the deficiencies in the prior art, it is true, reliable that the present invention provides a kind of predictions, Prediction technique science, the simple and direct stratigraphic anormaly earthquake detection method based on window Fourier transform.
Technical solution: to achieve the above object, the technical solution adopted by the present invention are as follows:
A kind of stratigraphic anormaly earthquake detection method based on window Fourier transform, includes the following steps:
It identified on the seismic profile of step 1) in the study area, track reflection line-ups corresponding to target zone;
Step 2) determines the parameter of research area's seismic trace signal Fourier transformation, including when window size, when window position and Fu In leaf transformation number of samples;
It is reference that step 3) collection research area, which has geologic information and log, according to log cross plot and Rock physics modeling result analyzes and determines whether stratum is normal, and choosing seismic channel corresponding to normal stratum is standard track, described The earth shock signal of standard track is denoted as f (t), calculates its Frequency response F (ω) using Fast Fourier Transform (FFT);Selecting frequency The bell window center frequency of domain response curve is respectively one ω of frequency1With two ω of frequency2Bell window, make two ω of frequency2Equal to earthquake Road dominant frequency, the i.e. corresponding frequency in amplitude highest point, while making frequency one and two absolute value of the difference of frequency | ω2-ω1| it is greater than When window width half, calculate Frequency response than one ξ=F (ω2)/F(ω1), wherein F (ω1) it be frequency is ω1Standard The Frequency response of road ground vibration signal f (t), F (ω2) it be frequency is ω2Standard track earth shock signal f (t) frequency Domain response;
Step 4) successively calculates its time-domain earth shock signal for non-standard seismic channel, using Fast Fourier Transform (FFT) F'(t Frequency response F'(ω));The bell window center frequency of selecting frequency domain response curve is respectively three ω of frequency3And frequency Four ω4Bell window, make four ω of frequency4Equal to non-standard seismic channel dominant frequency, while making the absolute of four difference of frequency three and frequency Value | ω4-ω3| greater than when window width half, calculate Frequency response than two ξ '=F'(ω4)/F'(ω2), wherein F'(ω3) It is ω for frequency3Non-standard seismic channel earth shock signal f'(t) Frequency response, F'(ω4) it be frequency is ω4It is non- The genuine face vibration signal f'(t of standard earthquake) Frequency response;
Step 5) calculates η=(ξ '-ξ)/ξ for all seismic channels in research area, draws η value in the equivalence in research area Line chart, the horizontal axis longitudinal axis are respectively x, the coordinate in the direction y, and size, that is, indicative purpose layer exception of η is strong and weak in isogram.
Preferred: the specific method is as follows for step 1):
(1) density log curve and velocity of longitudinal wave log are utilized, reflection coefficient log is calculated;
(2) seismic wavelet is chosen, by the way that seismic wavelet and reflection coefficient log are carried out convolution operation, generates synthesis Earthquake record;
(3) according to seismic trace near well, by the way that it is compared identifying purpose layer back wave with synthetic seismogram;
(4) target zone reflection line-ups is tracked using computer automatic tracing or human-computer interaction trace mode, i.e., and respectively The identical extreme value place of road vibration phase;
(5) when tracking, window is set as the apparent cycle of target zone back wave, i.e., read earthquake on seismic profile when tracking Wave period;
(6) when tracking, tracking phase settings are wave crest or trough or zero crossing.
Preferred: the specific method is as follows for step 2):
(1) by when window be set as the apparent cycle of target zone back wave;
(2) by when window position be set as target zone reflection line-ups;
(3) Fourier transformation number of samples is set as 256 or 512 or 1024.
It is preferred: when studying area there are when multiple standard tracks in step 3), to be put down with the earth shock signal of all standard tracks Mean value is as standard track signal.
Preferred: the formula for the Fast Fourier Transform (FFT) used in step 3) is as follows:
F (ω)=FFT (f (t))
Wherein, f (t) indicates that standard track earth shock signal, F (ω) indicate its Frequency response.
The formula for the Fast Fourier Transform (FFT) used in step 4) is as follows:
F'(ω)=FFT (f'(t))
Wherein, f'(t) indicate non-standard seismic channel earth shock signal, F'(ω) indicate its Frequency response.
The present invention compared with prior art, has the advantages that
1. inspection result is more intuitive, strong with stratigraphic anormaly correspondence.Since inspection result of the invention is η value in research area Distribution, the size of η value directly reflects the intensity of anomaly on stratum.Therefore, the η value detected can directly reflect the exception on stratum Degree is used directly for instructing mine safety production.
2. the precision for detecting stratigraphic anormaly is higher.It is directly checked for stratigraphic anormaly relative to using seismic properties, we Method is equivalent to by calculating (ξ '-ξ)/ξ and has sought gradient.Therefore, more sensitive for the reflection of stratigraphic anormaly, detect stratum Abnormal precision is higher.
3. the reliability of inspection result is higher.Since the present invention calculates the ratio ξ ' of different frequency response, then and mark first The ratio ξ comparison of quasi- road different frequency response, can overcome influence of the buried depth of strata to abnormality detection.Therefore, detection is reliable Property is higher, is used directly for instructing mine safety production.
4. data volume is small, more efficient.The present invention is relative to amplitude with prestack inversions sides such as geophone offset variation (AVO) methods For method, it is only necessary to use seismic profile data, rather than prestack common point (CMP) trace gather.Therefore, calculation amount is small, efficiency It is higher.
5. the present invention depicts the isogram of η due to the window Fourier transform method of use, make based in window Fu The stratigraphic anormaly earthquake detection of leaf transformation is possibly realized, scientific, simple and direct with detection method, as a result quantitative, intuitive, high-precision Advantage fully meets mining areas of mine safety in production and requires.
Detailed description of the invention
Fig. 1 is synthetic seismogram schematic diagram of the invention.
Fig. 2 is that stratum reflection line-ups picks up schematic diagram in seismic profile of the invention.
Fig. 3 is seismic channel Frequency response signal schematic representation of the invention.
In figure: 1, recording the time;2, seismic wavelet;3, density log curve;4, velocity of longitudinal wave log;5, it calculates Reflection coefficient log;6, synthetic seismogram;7, seismic channel Taoist monastic name;8, seismic channel waveform;9, the lineups picked up;10, it shakes Width reference axis;11, frequency coordinate axis;12, Frequency response curve;13, centre frequency ω2Bell window;14, centre frequency For ω1Bell window.
Specific embodiment
In the following with reference to the drawings and specific embodiments, the present invention is furture elucidated, it should be understood that these examples are merely to illustrate this It invents rather than limits the scope of the invention, after the present invention has been read, those skilled in the art are to of the invention various The modification of equivalent form falls within the application range as defined in the appended claims.
A kind of stratigraphic anormaly earthquake detection method based on window Fourier transform includes the following steps:
It identified on the seismic profile of step 1) in the study area, track reflection line-ups corresponding to target zone;
(1) density log curve and velocity of longitudinal wave log as shown in Figure 1 are utilized, it is bent to calculate reflection coefficient well logging Line.
(2) seismic wavelet as shown in Figure 1 is chosen, by the way that seismic wavelet and reflection coefficient log are carried out convolution fortune It calculates, generates synthetic seismogram as shown in Figure 1.
(3) according to seismic trace near well, by the way that it is compared identifying purpose layer back wave with synthetic seismogram.
(4) target zone reflection line-ups is tracked using computer automatic tracing or human-computer interaction trace mode, i.e., and respectively The identical extreme value place of road vibration phase, as shown in Figure 2.
(5) when tracking, window is set as the apparent cycle of target zone back wave, i.e., read earthquake on seismic profile when tracking Wave period.
(6) when tracking, tracking phase settings are wave crest or trough or zero crossing.
Step 2) determines the parameter of research area's seismic trace signal Fourier transformation, including when window size, when window position and Fu In leaf transformation number of samples;
(1) by when window be set as the apparent cycle of target zone back wave.
(2) by when window position be set as target zone reflection line-ups.
(3) Fourier transformation number of samples is set as 256 or 512 or 1024.
It is standard track that step 3), which chooses seismic channel corresponding to normal stratum, and the earth shock signal of the standard track is denoted as F (t) calculates its Frequency response F (ω).The specific method is as follows:
(1) collection research area has geologic information and log is reference.
(2) analyze and determine whether stratum is normal according to log cross plot and rock physics modeling result.
(3) choosing seismic channel corresponding to normal stratum is standard track, and the earth shock signal of the standard track is denoted as f (t), when research area is there are when multiple standard tracks, using the earth shock signal averaging of all standard tracks as standard track signal.
(4) its Frequency response F (ω) is calculated using Fast Fourier Transform (FFT), formula is as follows:
F (ω)=FFT (f (t))
Wherein, f (t) indicates that standard track earth shock signal, F (ω) indicate its Frequency response.
(5) the bell window center frequency of selecting frequency domain response curve is respectively one ω of frequency1With two ω of frequency2Bell window, Make two ω of frequency2Equal to seismic channel dominant frequency, the i.e. corresponding frequency in amplitude highest point, make one ω of frequency1Below or above earthquake Road dominant frequency, while making frequency one and two absolute value of the difference of frequency | ω2-ω1| greater than when window width half, calculate frequency Domain response is than one ξ=F (ω2)/F(ω1), wherein F (ω1) it be frequency is ω1Standard track earth shock signal f (t) frequency Domain response, F (ω2) it be frequency is ω2Standard track earth shock signal f (t) Frequency response, as shown in Figure 3.
Step 4) is denoted as f'(t for non-standard seismic channel, the earth shock signal of the non-standard seismic channel), successively count Calculate its Frequency response F'(ω).The specific method is as follows:
(1) successively calculate its time-domain earth shock signal f'(t using Fast Fourier Transform (FFT)) Frequency response F' (ω), formula is as follows:
F'(ω)=FFT (f'(t))
Wherein, f'(t) indicate non-standard seismic channel earth shock signal, F'(ω) indicate its Frequency response.
(2) the bell window center frequency of selecting frequency domain response curve is respectively three ω of frequency3With four ω of frequency4Bell window, Make four ω of frequency4Equal to non-standard seismic channel dominant frequency, make three ω of frequency3Below or above non-standard seismic channel dominant frequency, Make frequency three and four absolute value of the difference of frequency simultaneously | ω4-ω3| greater than when window width half, calculate Frequency response than two ξ ' =F'(ω4)/F'(ω3), wherein F'(ω3) it be frequency is ω3Non-standard seismic channel earth shock signal f'(t) frequency Domain response, F'(ω4) it be frequency is ω4Non-standard seismic channel earth shock signal f'(t) Frequency response, such as Fig. 3 institute Show.
Step 5) calculates η=(ξ '-ξ)/ξ for all seismic channels in research area, draws η value in the equivalence in research area Line chart, the horizontal axis longitudinal axis are respectively x, the coordinate in the direction y, and size, that is, indicative purpose layer exception of η is strong and weak in isogram, In, ξ is that there is a value on each stratum, and ξ ' is that each of each stratum seismic channel has a value.Therefore, η is each Each of stratum seismic channel has a value.
The above is only a preferred embodiment of the present invention, it should be pointed out that: for the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.

Claims (5)

1. a kind of stratigraphic anormaly earthquake detection method based on window Fourier transform, which comprises the steps of:
It identified on the seismic profile of step 1) in the study area, track reflection line-ups corresponding to target zone;
Step 2) determines the parameter of research area's seismic trace signal Fourier transformation, including when window size, when window position and Fourier Convert number of samples;
Step 3) collection research area has geologic information and log is reference, according to log cross plot and rock Physical modeling interpretation of result judges whether stratum is normal, and choosing seismic channel corresponding to normal stratum is standard track, the standard The earth shock signal in road is denoted as f (t), calculates its Frequency response F (ω) using Fast Fourier Transform (FFT);Selecting frequency domain is rung Answering the bell window center frequency of curve is respectively one ω of frequency1With two ω of frequency2Bell window, make two ω of frequency2It is excellent equal to seismic channel Gesture frequency, the i.e. corresponding frequency in amplitude highest point, while making frequency one and two absolute value of the difference of frequency | ω21| window when being greater than The half of width calculates Frequency response than one ξ=F (ω2)/F(ω1), wherein F (ω1) it be frequency is ω1Standard it is genuine The Frequency response of face vibration signal f (t), F (ω2) it be frequency is ω2Standard track earth shock signal f (t) frequency domain ring It answers;
Step 4) successively calculates its time-domain earth shock signal f' for non-standard seismic channel, using Fast Fourier Transform (FFT) (t) Frequency response F'(ω);The bell window center frequency of selecting frequency domain response curve is respectively three ω of frequency3With frequency four ω4Bell window, make four ω of frequency4Equal to non-standard seismic channel dominant frequency, while making frequency three and four absolute value of the difference of frequency |ω43| greater than when window width half, calculate Frequency response than two ξ '=F'(ω4)/F'(ω3), wherein F'(ω3) be Frequency is ω3Non-standard seismic channel earth shock signal f'(t) Frequency response, F'(ω4) it be frequency is ω4It is nonstandard Quasi- seismic channel earth shock signal f'(t) Frequency response;
Step 5) for research area in all seismic channels, calculate η=(ξ '-ξ)/ξ, draw η value research area isogram, The horizontal axis longitudinal axis is respectively x, the coordinate in the direction y, and size, that is, indicative purpose layer exception of η is strong and weak in isogram.
2. the stratigraphic anormaly earthquake detection method according to claim 1 based on window Fourier transform, it is characterised in that: The specific method is as follows for step 1):
(1) density log curve and velocity of longitudinal wave log are utilized, reflection coefficient log is calculated;
(2) seismic wavelet is chosen, by the way that seismic wavelet and reflection coefficient log are carried out convolution operation, generates synthesis earthquake Record;
(3) according to seismic trace near well, by the way that it is compared identifying purpose layer back wave with synthetic seismogram;
(4) target zone reflection line-ups, the vibration of the road Ji Yuge are tracked using computer automatic tracing or human-computer interaction trace mode The dynamic identical extreme value place of phase;
(5) when tracking, window is set as the apparent cycle of target zone back wave when tracking, i.e., read seismic wave week on seismic profile Phase;
(6) when tracking, tracking phase settings are wave crest or trough or zero crossing.
3. the stratigraphic anormaly earthquake detection method according to claim 1 based on window Fourier transform, it is characterised in that: The specific method is as follows for step 2):
(1) by when window be set as the apparent cycle of target zone back wave;
(2) by when window position be set as target zone reflection line-ups;
(3) Fourier transformation number of samples is set as 256 or 512 or 1024.
4. the stratigraphic anormaly earthquake detection method according to claim 1 based on window Fourier transform, it is characterised in that: When studying area there are when multiple standard tracks in step 3), believed using the earth shock signal averaging of all standard tracks as standard track Number.
5. the stratigraphic anormaly earthquake detection method according to claim 1 based on window Fourier transform, it is characterised in that: The formula for the Fast Fourier Transform (FFT) used in step 3) is as follows:
F (ω)=FFT (f (t))
Wherein, f (t) indicates that standard track earth shock signal, F (ω) indicate its Frequency response;
The formula for the Fast Fourier Transform (FFT) used in step 4) is as follows:
F'(ω)=FFT (f'(t))
Wherein, f'(t) indicate non-standard seismic channel earth shock signal, F'(ω) indicate its Frequency response.
CN201710553015.4A 2017-07-07 2017-07-07 A kind of stratigraphic anormaly earthquake detection method based on window Fourier transform Active CN107505665B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710553015.4A CN107505665B (en) 2017-07-07 2017-07-07 A kind of stratigraphic anormaly earthquake detection method based on window Fourier transform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710553015.4A CN107505665B (en) 2017-07-07 2017-07-07 A kind of stratigraphic anormaly earthquake detection method based on window Fourier transform

Publications (2)

Publication Number Publication Date
CN107505665A CN107505665A (en) 2017-12-22
CN107505665B true CN107505665B (en) 2019-02-12

Family

ID=60678797

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710553015.4A Active CN107505665B (en) 2017-07-07 2017-07-07 A kind of stratigraphic anormaly earthquake detection method based on window Fourier transform

Country Status (1)

Country Link
CN (1) CN107505665B (en)

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6414492B1 (en) * 2000-11-02 2002-07-02 Amalgamated Explorations, Inc. Method and apparatus for passive detection of geophysical discontinuities in the earth
AU2014259680A1 (en) * 2013-05-02 2015-12-17 Schlumberger Technology B.V. Thermal maturity indicator
CN104090302B (en) * 2014-07-02 2017-08-25 中国海洋石油总公司 The method of work area underground medium frequency domain anomaly analysis
CN106291686B (en) * 2016-07-20 2019-02-15 中国石油天然气集团公司 The method and device of spectral balancing between single-frequency data volume
CN106873029B (en) * 2017-01-19 2020-02-07 秦福亮 Method for determining coal and gas outburst indexes and critical states thereof

Also Published As

Publication number Publication date
CN107505665A (en) 2017-12-22

Similar Documents

Publication Publication Date Title
Chadwick et al. Quantitative analysis of time-lapse seismic monitoring data at the Sleipner CO 2 storage operation
Goertz-Allmann et al. Combining microseismic and geomechanical observations to interpret storage integrity at the In Salah CCS site
US9715028B2 (en) Method of assessing hydrocarbon source rock candidate
Wang et al. Current developments on micro-seismic data processing
Valoroso et al. Active faults and induced seismicity in the Val d’Agri area (Southern Apennines, Italy)
US9354336B2 (en) Microseismic data acquisition array and corresponding method
US8498177B2 (en) Determining a position of a geological layer relative to a wavelet response in seismic data
CN104360388B (en) A kind of 3 D seismic observation system evaluation method
WO2000031567A1 (en) Hydrocarbon edge detection using seismic amplitude
Yang et al. Integrated application of 3D seismic and microseismic data in the development of tight gas reservoirs
Roach et al. Initial 4D seismic results after CO2 injection start-up at the Aquistore storage site
CN102749645A (en) Method and device for utilizing angle impedance gradient to carry out reservoir hydrocarbon detection
Rodríguez‐Pradilla et al. Automated microseismic processing and integrated interpretation of induced seismicity during a multistage hydraulic‐fracturing stimulation, Alberta, Canada
CN103076633A (en) Method and device for detecting directions and positions of cracks in oil and gas reservoir
Fujimoto et al. DAS 3DVSP survey at Stratigraphic Test Well (Hydrate-01)
Lin et al. Predicting the azimuth of natural fractures and in situ horizontal stress: A case study from the Sichuan Basin, China
EP2917857B1 (en) Fracture characterization from refraction travel time data
CN107505665B (en) A kind of stratigraphic anormaly earthquake detection method based on window Fourier transform
Fagan et al. Clustering revisited: A spectral analysis of microseismic events
White Integrated geophysical characterization and monitoring at the aquistore CO2 storage site
CN104597497A (en) Reservoir hydrocarbon prediction method based on analysis of prestack instantaneous frequency properties
RU2145101C1 (en) Method for estimation of service properties of gas-oil pool
Shemeta et al. Stacking seismograms to improve microseismic images
Nanda Seismic pitfalls
Ziegler Adaptive Sensor Tuning for Seismic Event Detection in Environment with Electromagnetic Noise

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant