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Method for directly performing automatic crack detection on prestack depth migration seismic data

A pre-stack depth migration, seismic data technology, applied in seismology, geophysical measurement, seismic signal processing, etc., can solve the problems of enlarged fault shadow, loss of signal analysis time attribute, waveform distortion, etc., to achieve a more optimal solution , the effect of avoiding the horizontal homing problem

Inactive Publication Date: 2019-04-05
成都捷科思石油天然气技术发展有限公司
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Problems solved by technology

The problem with this technique is that the structurally constrained filtering in the detuning will amplify the fault shadows, making the predicted fault position deviate from the actual geological situation
[0006] However, the waveform of prestack depth migration loses the time attribute of signal analysis, which means that many seismic attributes in the time domain cannot be directly extracted in the depth domain in principle
However, when the deep time is converted back to the time domain, the waveform will be distorted due to the approximation of the velocity model, thereby reducing the reliability of the fracture attribute.

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  • Method for directly performing automatic crack detection on prestack depth migration seismic data
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  • Method for directly performing automatic crack detection on prestack depth migration seismic data

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[0029] All features disclosed in this specification, or steps in all methods or processes disclosed, may be combined in any manner, except for mutually exclusive features and / or steps.

[0030] A method for automatic fracture detection directly on pre-stack depth migration seismic data, comprising the following steps:

[0031] [1] Depth-domain seismic attribute extraction and optimization: the crack-sensitive attributes that do not involve time-varying parameters in the pre-stack depth migration seismic attributes are classified into one category, named "transverse fault attributes", after extracting the transverse fault attributes, By comparing the distribution of regional faults and the imaging of core fractures, the attributes with high consistency are selected as the preferred attributes;

[0032] The classification of seismic attributes is not unique. In the early 1990s, Taner simply classified seismic attributes into geometric attributes and physical attributes. Geometr...

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Abstract

The invention belongs to the field of the seismic data interpretation, and specifically relates to a method for directly performing automatic crack detection on prestack depth migration seismic data.For the own limitation of the traditional time domain fracture automatic tracking technology due to the prestack time migration algorithm, a result is server hundred meters deviated from the actual drilling since the fracture of a complex construction region cannot correctly return to home, and the huge economic loss is caused. The technical scheme disclosed by the invention is as follows: [1] depth domain seismic attribute optimization and extraction: sorting crack sensitive attributes uninvolved with time-varying parameters in the prestack depth migration seismic attribute as one class so asto be served as transverse fracture attribute, selecting the specific optimal attribute from the transverse fracture attribute through the test; [2] depth domain seismic attribute boundary enhancement: performing boundary enhancement on the optimal attribute; and [3] depth domain crack automatic identification: performing automatic crack tracking identification on the boundary-enhanced optimal attribute. The automatic tracking algorithm generally selects ant tracking, and the main parameters are positive or passive tracking mode and a facture dip angle selected on a rose diaphragm.

Description

technical field [0001] The invention belongs to the field of seismic data interpretation, in particular to a method for automatic crack detection directly on pre-stack depth migration seismic data. Background technique [0002] With the growth of global oil and gas demand and the advancement of unconventional oil and gas reservoir exploration and development technology, the automatic identification technology of faults and fractures on seismic data volumes has become a key link in well deployment and production stimulation. Especially for the preliminary exploration risk control and horizontal well design of fractured shale gas, the overall distribution pattern of small faults and fractures is a geological task that must be implemented in the oil and gas field exploration stage. [0003] The traditional fault and crack detection techniques are all time-domain seismic attribute tracking, the most representative one is the ant body attribute. The problem with this technique i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28G01V1/30G01V1/36
CPCG01V1/28G01V1/301G01V1/36G01V2210/512G01V2210/59G01V2210/646
Inventor 贺燕冰齐勋黄君雷治安张海杰唐大海王维于靖张晓丹陈欣
Owner 成都捷科思石油天然气技术发展有限公司
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