CN104330826A - A method for removing various noises under the condition of complex surface - Google Patents
A method for removing various noises under the condition of complex surface Download PDFInfo
- Publication number
- CN104330826A CN104330826A CN201410374913.XA CN201410374913A CN104330826A CN 104330826 A CN104330826 A CN 104330826A CN 201410374913 A CN201410374913 A CN 201410374913A CN 104330826 A CN104330826 A CN 104330826A
- Authority
- CN
- China
- Prior art keywords
- noise
- frequency
- seismic
- removal
- low
- 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.)
- Pending
Links
Abstract
The invention relates to a method for removing various noises under the condition of complex surface and belongs to the technical field of petroleum and natural gas seismic data processing. The method is characterized by, to begin with, carrying out static correction processing on collected original seismic signals; then, determining noise characteristics at multiple domains and in divided frequency bands and carrying out noise removal; and finally, carrying out merging reconstruction on signals of each frequency band obtained after noise removal, and establishing full frequency band seismic signals, so that removal of the noise of the full frequency band seismic signals is realized. Accuracy of determining the noise characteristics at multiple domains of the seismic signals with different frequency bands can be guaranteed through the static correction processing; and the signals are subjected to frequency division processing, so that advantage frequency bands are centralized in some frequency band, and the noise is suppressed to the maximum degree and effective signals are kept. The method effectively overcomes the influence of the complex surface on the noise removal effect, and meanwhile, overcomes the limitation that the existing de-noising technology is only targeted for a certain kind of noise; and the method is good in amplitude-preserving performance, and obvious in effect, and has wide market application prospect.
Description
Technical field
The present invention relates to a kind of remove complex near surface conditions under the method for multiple noise, belong to petroleum gas Seismic Data Processing Technique field.
Background technology
The emphasis of current seismic exploration turns to complicated terrain area.The collection of complicated terrain area seismic data is very complicated, and landform is different, and surface relief is all comparatively large, the many factors of impact construction.Gather the data of coming, due to the impact by many factors, also all differ greatly, most data signal to noise ratio (S/N ratio) is on the low side, and multiple noise is grown.
Noise jamming is divided into rule interference and random disturbance two class, and rule interference mainly contains ground roll, sound wave, refraction wave, ghosting etc., and random noise disturbance has noise of instrument, microseism, people is dynamic and air-dry disturbs.While reception significant wave, always have this two classes noise to exist, therefore, seismic prospecting has the problem of compacting noise from start to finish.
Under non-complex surface conditions, there is not large static correction problem in source book, and normal noise of growing generally has: ground roll, linear disturbance, sound wave, random disturbance etc., and the linear rule of rule interference is obvious, and apparent velocity is stablized.At present, the denoising method for these noises has a lot, also achieves certain effect.But these methods are all only removed for a certain class noise, as prestack right-angled intersection noise-removed technology removal ground roll, self-adaptation surface wave attenuation technology removes ground roll, linear prediction method removes linear disturbance, regional anomaly sound attenuation technology is removed and do not met the irregular interference such as the high power pulse high energy interference of earth's surface-consistent.
Linear disturbance is removed to utilize linear prediction method, the basic thought of this technology is: utilize Computer Automatic Recognition technology, identify linear disturbance position and apparent velocity, and adopt linear prediction method, dope the Changing Pattern of linear disturbance ripple, ask for linear disturbance predictive operator, then remove linear disturbance.If sample to each road of section along the straight line L (P, τ) of a certain slope P, obtain one-dimensional signal Xn (p, τ), be designated as:
n＝1，2，3……N
Wherein: g
n(p, τ) is the sampled value of linear disturbance ripple;
S
nthe sampled value that (p, τ) is useful signal and other noise;
N is the number of channels of section seismic trace;
τ is straight line L (P, τ) reference point on section; P is the slope of straight line.
Can think g
n(p, τ) part is regular, S
n(p, τ) part is random, approaches g by the method for linear prediction
n(p, τ), reaches and is separated S
n(p, τ) and g
nthe object of (p, τ).
Backward linear prediction is done forward to time series Xn (p, τ).
Forward prediction has:
i＝M+1，…，N
Predicated error is:
The error predicted backward is:
As the output of wave filter, be exactly useful signal part S by predicated error backward forward
n(p, τ), n=1,2,3 ... N approaches, wherein a
k, b
kfor forward and backward predictions coefficient.
But, under complex near surface conditions, earth's surface high level rises and falls large, surface structure difference is large, change is fast, and due to the difference of top layer lithology, top layer speed difference is large, there is larger static correction problem, the form of expression in raw readings is exactly that primary wave rises and falls, the lineups distortion of usable reflection or do not manifest.Serious static correction problem destroys the regularity of distribution of regular noise, the linear rule of regular noise is presented non-linear, increases the difficulty of noise removal.And because complicated and diversified various factors brings great inconvenience to field construction, there is the fixed frequency interference that bad track, empty road, industrial noise, local industry facility and machine operation produce in seismologic record; In the place that earth's surface elevation drop is larger, when seismic event excites, rock cliff can produce some low frequencies and to echo ripple, seismologic record shows as intersection lineups; Along with landform and excitation li thology change, ground roll frequency, energy, distribution range also change thereupon, and the record excited under record surface wave energy, speed, distribution situation and other earth's surface topographic features that high steep position excites is distinguished to some extent; In the place that physical features is smooth, repeatedly refraction wave performance is obvious for shallow-layer, and its speed is often the speed on high-velocity bed top; The complexity of lithology, different kinds of rocks exposure, top layer weathering layer thickness is thin, some place does not have low velocity layer (LVL) at all, when seismic event excites, the seismic event from high-velocity bed top becomes primary wave, and the seismic event (direct wave) propagated along top layer becomes the interference wave of seismologic record; Scattering phenomenon ubiquity, shows as the cross jamming of weak energy in single shot record, along with the increasing of propagation distance, energy is decayed gradually.These bring great difficulty all to the removal of noise, therefore, achieve the technical method of reasonable noise removal effect under non-complex surface conditions, under complex near surface conditions, can not obtain desirable noise removal effect in seism processing.
At present, removing, the research in noise is commonplace, but method is comparatively single, generally only focuses on and studies a certain class noise; On the other hand, different denoising method technology has its different specific aims, adaptability usually, does not have a kind of method to be all effective to various noise.This just have impact on the effect of noise removal, brings larger difficulty to process.
Summary of the invention
The object of this invention is to provide a kind of remove complex near surface conditions under the method for multiple noise, remove the problem that in noise process, noise removal effect is bad at present to solve.
The present invention for solve the problems of the technologies described above and provide a kind of remove complex near surface conditions under the method for multiple noise, it is characterized in that, the method comprises the following steps:
1) static corrections processing is carried out to the original seismic signal collected;
2) fraction frequency is carried out to the seismic signal after static corrections processing, seismic signal is divided into different frequency ranges, determine the distribution frequency band of noise;
3) noise removal process is carried out to the seismic signal of each frequency range;
4) seismic signal after all frequency ranges being removed noise carries out merging reconstruct, sets up the seismic signal of Whole frequency band.
Described step 1) in static correction process as follows:
A) first-arrival traveltime is utilized to set up initial rate pattern in the geologic province of inverting;
B) to set up initial velocity model gridding;
C) forward modelling is carried out with initial model;
D) just drilling result according to primary wave and carrying out rate pattern inverting, obtaining more accurate terrain model through repeatedly iterating inverting;
E, on the terrain model obtained mutual pickup high-velocity bed top circle and corresponding correction reference face, by suing for peace to the longitudinal direction of grid time each on terrain model, obtain the corresponding static correction value of earth's surface observation station.
Described step 3) when processing low frequency noise interference, different shot intervals should adopt the filtering shelves of different frequency, according to different common offset seismic trace record, determine the low-frequency disturbance dominant frequency of its correspondence, obtained the linear function of a geophone offset and low-frequency disturbance dominant frequency by least square fitting method, this calculates according to different geophone offsets and obtains the low-frequency disturbance dominant frequency of its correspondence.
Described step 3) when processing high frequency noise interference, from shot record migration, common receiver, common offset and common depth point four aspects, signal energy is added up respectively.
Described step 4) complete after also need to detect and remove whether containing remaining noise in the seismic signal after noise, and whether containing useful signal in the noise signal removed, if any, then re-start removal noise processed.
The invention has the beneficial effects as follows: first the present invention carries out static corrections processing to the original seismic signal collected, then frequency-division section multiple domain determination feature of noise go forward side by side Row noise remove, finally merging reconstruct is carried out to each frequency band signals after removal noise, set up the seismic signal of Whole frequency band, thus realize the removal of the noise of Whole frequency band seismic signal.The seismic signal of different frequency range can be made in the accuracy of multiple domain determination feature of noise by static corrections processing, scaling down processing is carried out to signal, ensure that in certain frequency range, concentrate dominant frequency band, suppress noise to greatest extent and retain useful signal.Instant invention overcomes the impact on noise removal effect that complicated earth surface factor is brought, overcome existing noise-removed technology only for the limitation of a certain class noise, protect width good, successful, has wide market application foreground simultaneously.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the method for multiple noise under the present invention removes complex near surface conditions;
Fig. 2 is the single big gun schematic diagram before and after static correction;
Fig. 3 is single big gun and noise schematic diagram before and after low-frequency disturbance compacting;
Fig. 4 is single big gun and noise schematic diagram before and after high frequency interference compacting;
Fig. 5 plays big gun and noise schematic diagram before and after noise removal in the embodiment of the present invention;
Fig. 6 removes stacked section schematic diagram early in the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is further described.
The present invention is in order to solve the defect removed at present existing for noise, provide a kind of remove complex near surface conditions under the method for multiple noise, the method can be removed multiple noise to greatest extent and retain the useful signal in seismic signal, and as shown in Figure 1, concrete step is as follows for the flow process of the method:
1. pair original seismic signal collected carries out static corrections processing.Before carrying out noise removal, must carry out static corrections processing to geological data, make the rule producing distortion due to static correction problem disturb regularization, the processing procedure of static correction is as follows:
A, first-arrival traveltime is utilized to set up initial rate pattern in the geologic province of inverting;
B, to set up initial velocity model gridding;
C, carry out forward modelling with initial model;
D, just drilling result according to primary wave and carrying out rate pattern inverting, obtaining more accurate terrain model through repeatedly iterating inverting;
E, pickup high-velocity bed top circle (i.e. boundary at the bottom of low velocity layer) and accordingly correction reference face alternately on the terrain model obtained, by suing for peace to the longitudinal direction of grid time each on terrain model, obtain the corresponding static correction value of earth's surface observation station.
Aforesaid way is adopted to correct, (left side is before static correction to design sketch before and after static correction as shown in Figure 2, the right is for after static correction), the rule producing distortion due to static correction problem is made to disturb regularization, like this, information accurately could be obtained to the seismic data of different frequency range at multiple domain determination feature of noise, and then could more satisfactory effect be obtained when carrying out noise removal.
2. the seismic signal after pair static corrections processing carries out fraction frequency, and seismic signal is divided into different frequency ranges, determines the distribution frequency band of noise.Frequently the benefit of process is the feature of the advantage frequency extraction noise that can utilize noise, and utilize the feature extracted as constraint in non-advantage frequency range, reach the object more accurately identifying noise like this, frequency division can ensure, under the prerequisite that useful signal is not affected greatly, farthest to suppress noise.
3. noise removal process is carried out to the seismic signal of each frequency range.To the seismic data of each frequency range, in time range, dominant frequency, apparent velocity, the amplitude energy feature of shot point, geophone station, offset distance, CMP multiple domain determination noise, according to these features and user-defined threshold value and attenuation coefficient, become during employing, the mode of space-variant is weighted compacting at multiple domain to noise.
Although low-frequency disturbance has the slower frequecy characteristic of exhaustion, because its frequency is narrower, so the decling phase of low-frequency disturbance still has larger impact for narrower frequency band.Therefore when low frequency signals suppression disturbs, different shot intervals should adopt the filtering shelves of different frequency, in order to obtain the dominant frequency of low-frequency disturbance on not geophone offset record, choose several different common offset seismic trace record, and determine the low-frequency disturbance dominant frequency of its correspondence, then obtain a linear function about geophone offset and low-frequency disturbance dominant frequency by least square fitting method, so just calculate according to different geophone offsets and obtain the low-frequency disturbance dominant frequency of its correspondence.
First, information beyond low-frequency disturbance band carries out excising by the original seismic data of shot record migration and just obtains shot record migration low-frequency disturbance record, then carry out taking out collection according to selected several geophone offsets, obtain the common offset low-frequency disturbance record of required geophone offset.
Secondly, spectrum analysis is carried out to each common offset record, and obtain frequency range and the dominant frequency thereof of the distribution of each record medium and low frequency interference main energetic, by the frequency band lower than certain frequency as low-frequency disturbance frequency band.
Now, if selected geophone offset is respectively x
1, x
2, x
3..., x
k..., x
n, the low-frequency disturbance dominant frequency of its correspondence is respectively f
1, f
2, f
3..., f
k..., f
n.There is following linear relationship in geophone offset and the low-frequency disturbance dominant frequency corresponding to it:
f＝a
0+a
1x+a
2x
2+...+a
Kx
K
So, just can by each term coefficient in following Solving Equations modus ponens:
Least squares approach is utilized to solve, each term coefficient in formula, thus the expression formula obtaining different geophone offset and the low-frequency disturbance dominant frequency corresponding to it.
Like this; just the dominant frequency of the low-frequency disturbance of each seismic trace in seismologic record can be calculated; regard the different high end frequency of geophone offset low-frequency disturbance band and the difference of dominant frequency as constant now; so can according to the dominant frequency of different geophone offset low-frequency disturbance band; the high end frequency of low-frequency disturbance band corresponding under calculating different geophone offset; high end frequency is utilized to carry out high-pass filtering as the low-frequency disturbance band of low cut-off frequency to different geophone offset; just can reach the object eliminating common-shot-point records medium and low frequency interfering energy, and protect effective low frequency energy simultaneously.Low-frequency disturbance compacting front and back and noise be (left for before low-frequency disturbance compacting, middle for after low-frequency disturbance compacting, the noise of centre for removing) as shown in Figure 3.Pass through Design Based on Spatial Resampling, the feature utilizing useful signal on noise direction to present randomness and linear disturbance to keep better correlativity, principle analysis decomposition technology is used to solve linear disturbance model, by model tuning and coherence's constraint, suppress the linear disturbance such as ground roll, the repeatedly refraction in seismologic record to greatest extent, and useful signal remains unchanged.
The irregular interference such as the high power pulse high energy interference of earth's surface-consistent are not met in compacting data, can add up signal energy in shot record migration, common receiver, common offset and common depth point four, by designing the energy method computations of RMS amplitude, average absolute amplitude, maximum absolute amplitude or the very big amplitude of variance, the parameter such as window, threshold value during design analysis, pickup amplitude energy calculates energy spectrometer and decomposes, different noise types is suppressed, smoothly, process such as punching zero etc., reach the object eliminating pulse noise and strong amplitude noise.High frequency interference compacting front and back and noise be (left for before high frequency interference compacting, middle for after high frequency interference compacting, the noise of centre for removing) as shown in Figure 4.
4. the seismic signal after all frequency ranges being removed noise carries out merging reconstruct, sets up the seismic signal of Whole frequency band.
5. check that whether the seismic signal after removing noise is containing remaining noise, and whether containing useful signal in the noise removed, to determine the effect of noise removal, if effect is bad, just re-start noise removal.
For certain complicated earth surface work area, effect of the present invention is described below, supposes that the three-dimensional area coverage in this work area is 116km
2, carry out prestack noise removal by method of the present invention, as shown in Figure 5, wherein left side is the single big gun signal before noise removal to the effect after its removal, and centre is the single big gun signal after noise removal, and right side is the noise removed.Stacked section before and after denoising is (left side is before denoising, and right side is after denoising) as shown in Figure 6, and from Fig. 5-Fig. 6, the present invention can make noise jamming effectively be suppressed, and useful signal is given prominence to, improves signal to noise ratio (S/N ratio).
Claims (5)
1. under removing complex near surface conditions, a method for multiple noise, is characterized in that, the method comprises the following steps:
1) static corrections processing is carried out to the original seismic signal collected;
2) fraction frequency is carried out to the seismic signal after static corrections processing, seismic signal is divided into different frequency ranges, determine the distribution frequency band of noise;
3) noise removal process is carried out to the seismic signal of each frequency range;
4) seismic signal after all frequency ranges being removed noise carries out merging reconstruct, sets up the seismic signal of Whole frequency band.
2. the method for multiple noise under removal complex near surface conditions according to claim 1, is characterized in that, described step 1) in static correction process as follows:
A) first-arrival traveltime is utilized to set up initial rate pattern in the geologic province of inverting;
B) to set up initial velocity model gridding;
C) forward modelling is carried out with initial model;
D) just drilling result according to primary wave and carrying out rate pattern inverting, obtaining more accurate terrain model through repeatedly iterating inverting;
E, on the terrain model obtained mutual pickup high-velocity bed top circle and corresponding correction reference face, by suing for peace to the longitudinal direction of grid time each on terrain model, obtain the corresponding static correction value of earth's surface observation station.
3. the method for multiple noise under removal complex near surface conditions according to claim 1, it is characterized in that, described step 3) when processing low frequency noise interference, different shot intervals should adopt the filtering shelves of different frequency, according to different common offset seismic trace record, determine the low-frequency disturbance dominant frequency of its correspondence, obtained the linear function of a geophone offset and low-frequency disturbance dominant frequency by least square fitting method, this calculates according to different geophone offsets and obtains the low-frequency disturbance dominant frequency of its correspondence.
4. the method for multiple noise under removal complex near surface conditions according to claim 3, it is characterized in that, described step 3) when processing high frequency noise interference, from shot record migration, common receiver, common offset and common depth point four aspects, signal energy is added up respectively.
5. the method for multiple noise under the removal complex near surface conditions according to any one of claim 1-4, it is characterized in that, described step 4) complete after also need to detect and whether remove in the seismic signal after noise containing remaining noise, and whether containing useful signal in the noise signal removed, if any, then re-start removal noise processed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410374913.XA CN104330826A (en) | 2014-07-31 | 2014-07-31 | A method for removing various noises under the condition of complex surface |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410374913.XA CN104330826A (en) | 2014-07-31 | 2014-07-31 | A method for removing various noises under the condition of complex surface |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104330826A true CN104330826A (en) | 2015-02-04 |
Family
ID=52405585
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410374913.XA Pending CN104330826A (en) | 2014-07-31 | 2014-07-31 | A method for removing various noises under the condition of complex surface |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104330826A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106353819A (en) * | 2015-07-17 | 2017-01-25 | 中国石油化工股份有限公司 | In-well three-component microseism first arrival pickup method |
| CN107870365A (en) * | 2016-09-28 | 2018-04-03 | 中国石油化工股份有限公司 | High frequency static correction value modification method and system |
| CN111312272A (en) * | 2020-03-19 | 2020-06-19 | 西安石油大学 | Products, methods and systems for reducing noise signals in near-wellbore acoustic data sets |
| CN112099090A (en) * | 2019-06-17 | 2020-12-18 | 中国海洋大学 | Seismic data apparent velocity domain non-uniformity long wavelength static correction method |
| CN112327360A (en) * | 2020-10-29 | 2021-02-05 | 中海油田服务股份有限公司 | Method, device, computer storage medium and terminal for realizing noise processing |
| CN112444853A (en) * | 2019-08-30 | 2021-03-05 | 中国石油化工股份有限公司 | Ground micro-seismic noise suppression method |
| CN112698396A (en) * | 2019-10-23 | 2021-04-23 | 中国石油天然气集团有限公司 | Data processing method and system for suppressing extremely strong environmental noise |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101545983A (en) * | 2009-05-05 | 2009-09-30 | 中国石油集团西北地质研究所 | Multiattribute frequency division imaging method based on wavelet transformation |
| CN102081168A (en) * | 2009-12-01 | 2011-06-01 | 中国石油天然气集团公司 | Method for improving surface wave attenuation performance in seismic data processing |
| CN102193108A (en) * | 2010-03-19 | 2011-09-21 | 中国石油天然气集团公司 | Method for improving SNR (signal-to-noise ratio) of oil exploration data processing |
| CN102944895A (en) * | 2012-10-26 | 2013-02-27 | 中国石油大学(北京) | Suppression method and suppression device for surface wave interference for seismic record |
-
2014
- 2014-07-31 CN CN201410374913.XA patent/CN104330826A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101545983A (en) * | 2009-05-05 | 2009-09-30 | 中国石油集团西北地质研究所 | Multiattribute frequency division imaging method based on wavelet transformation |
| CN102081168A (en) * | 2009-12-01 | 2011-06-01 | 中国石油天然气集团公司 | Method for improving surface wave attenuation performance in seismic data processing |
| CN102193108A (en) * | 2010-03-19 | 2011-09-21 | 中国石油天然气集团公司 | Method for improving SNR (signal-to-noise ratio) of oil exploration data processing |
| CN102944895A (en) * | 2012-10-26 | 2013-02-27 | 中国石油大学(北京) | Suppression method and suppression device for surface wave interference for seismic record |
Non-Patent Citations (4)
| Title |
|---|
| 孔剑冰: "塔里木盆地低信噪比地震资料处理技术研究与应用", 《中国优秀硕士学位论文全文数据库 基础科学辑》 * |
| 张恒超: "叠前多域去噪技术应用开发研究", 《中国优秀硕士学位论文全文数据库 基础科学辑》 * |
| 李文杰等: "基于频率衰减特性的面波压制方法", 《石油物探》 * |
| 郭树祥: "胜利油田三维地震资料处理技术现状与发展", 《油气地球物理》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106353819A (en) * | 2015-07-17 | 2017-01-25 | 中国石油化工股份有限公司 | In-well three-component microseism first arrival pickup method |
| CN107870365A (en) * | 2016-09-28 | 2018-04-03 | 中国石油化工股份有限公司 | High frequency static correction value modification method and system |
| CN112099090A (en) * | 2019-06-17 | 2020-12-18 | 中国海洋大学 | Seismic data apparent velocity domain non-uniformity long wavelength static correction method |
| CN112099090B (en) * | 2019-06-17 | 2021-07-30 | 中国海洋大学 | Seismic data apparent velocity domain non-uniformity long wavelength static correction method |
| CN112444853A (en) * | 2019-08-30 | 2021-03-05 | 中国石油化工股份有限公司 | Ground micro-seismic noise suppression method |
| CN112444853B (en) * | 2019-08-30 | 2024-04-09 | 中国石油化工股份有限公司 | Ground microseism noise suppression method |
| CN112698396A (en) * | 2019-10-23 | 2021-04-23 | 中国石油天然气集团有限公司 | Data processing method and system for suppressing extremely strong environmental noise |
| CN111312272A (en) * | 2020-03-19 | 2020-06-19 | 西安石油大学 | Products, methods and systems for reducing noise signals in near-wellbore acoustic data sets |
| CN112327360A (en) * | 2020-10-29 | 2021-02-05 | 中海油田服务股份有限公司 | Method, device, computer storage medium and terminal for realizing noise processing |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104330826A (en) | A method for removing various noises under the condition of complex surface | |
| CN101334483B (en) | Method for attenuating rayleigh wave scattered noise in earthquake data-handling | |
| CN101598809A (en) | A kind of self-adaptation is eliminated the method for linear programming noise and multiple reflection interference | |
| CN107462924B (en) | A kind of absolute wave impedance inversion method independent of well-log information | |
| US20080285383A1 (en) | System and method for processing seismic data for interpretation | |
| CN109669212B (en) | Seismic data processing method, stratum quality factor estimation method and device | |
| CN102590862B (en) | Prestack time migration method for compensating absorptive attenuation | |
| CN104237945B (en) | A kind of seismic data self adaptation high resolution processing method | |
| CN105044777B (en) | The method that earthquake reference lamina strong reflection amplitude is eliminated is detected based on empirical mode decomposition | |
| CN104570066B (en) | Method for building seismic inversion low-frequency models | |
| CN109188520B (en) | Thin reservoir thickness prediction method and device | |
| CN103364835A (en) | Stratum structure self-adaption median filtering method | |
| EP2075597A2 (en) | Spectral conditioning for surface seismic data | |
| CN104570116A (en) | Geological marker bed-based time difference analyzing and correcting method | |
| CN100349012C (en) | Method for pressing random noise in seismological record with low SNR | |
| CN111856566B (en) | Method and device for predicting thin reservoir in sand body of lake-phase beach dam | |
| CN115373023A (en) | Joint detection method based on seismic reflection and vehicle noise | |
| CN103135133A (en) | Method and device of vector noise reduction of multi-component seismic data | |
| CN106950600A (en) | A kind of minimizing technology of near surface scattering surface ripple | |
| EP2249183A1 (en) | Modeling and filtering coherent noise in seismic surveying | |
| CN101937101B (en) | Method for identifying whether time-lapse seism is implemented or not | |
| CN104122590A (en) | Oil and gas detection method and system based on electromagnetic survey | |
| Wang et al. | Application of a new wavelet threshold method in unconventional oil and gas reservoir seismic data denoising | |
| CN104280773A (en) | Method for predicting thin layer thickness by utilization of time-frequency spectrum cross plot changing along with geophone offsets | |
| CN102778692B (en) | Method for determining quality factor by using seismic data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150204 |