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Method and system for predicting plane distribution of different reservoirs

A plane distribution and reservoir technology, applied in the field of geophysical exploration, can solve the problem of inability to accurately predict and distinguish different types of reservoirs, reservoirs and non-reservoirs, etc., achieve accurate and reliable prediction and distinction results, and use less materials , the effect of structural stability

Pending Publication Date: 2021-06-11
成都捷科思石油天然气技术发展有限公司 +1
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Problems solved by technology

[0008] In order to overcome the deficiencies of the prior art, the present invention provides a method and system for predicting the plane distribution of different reservoirs, which solves the problems existing in the prior art that cannot accurately predict and distinguish different types of reservoirs, reservoirs and non-reservoirs, etc.

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  • Method and system for predicting plane distribution of different reservoirs
  • Method and system for predicting plane distribution of different reservoirs
  • Method and system for predicting plane distribution of different reservoirs

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Effect test

Embodiment 1

[0049] Such as figure 1 As shown, a method for predicting the plane distribution of different reservoirs includes the following steps:

[0050] S1, using seismic data to extract and invert various types of reservoirs, obtain multiple seismic attribute data volumes, optimize the seismic attribute data volumes, and normalize the multiple optimized seismic attribute data processing to obtain the normalized seismic attribute data volume;

[0051] S2. After extracting the attribute values ​​corresponding to different reservoirs on the well point from the normalized seismic attribute data volume, the above-ground reservoir volume map is established, and the shape boundaries of different reservoirs are determined on the reservoir volume map, and according to The type of reservoir on the well is to calculate the waveform similarity coefficient of the target layer on the relevant seismic attribute data body, and obtain the similarity coefficient data of different reservoir types;

[...

Embodiment 2

[0112] Such as figure 1 As shown, a system for predicting the plane distribution of different reservoirs includes the following modules:

[0113] Normalization module: used to extract and invert various reservoir types using seismic data, obtain multiple seismic attribute data volumes, optimize seismic attribute data volumes, and optimize multiple seismic attribute data volumes Perform normalization processing respectively to obtain the normalized seismic attribute data volume;

[0114] Similarity coefficient generation module: it is used to extract the attribute values ​​corresponding to different reservoirs on the well point from the normalized seismic attribute data volume, and then establish the reservoir volume map on the well, and determine the different reservoirs on the reservoir volume map According to the reservoir type on the well, the waveform similarity coefficient of the target layer is calculated for the relevant seismic attribute data body, and the similarity ...

Embodiment 3

[0119] Such as figure 1 As shown, the work steps are formulated. This embodiment is to predict the deep shale gas reservoir of the Longmaxi Formation in marine facies in a shale gas exploration area in Sichuan.

[0120] Extract three types of attribute data related to porosity, fractures and reservoir productivity. According to the actual situation of the project time and computer computing power in this area, expert experience and relatively mature geophysical technology, use 3D pre-stack gathers and The post-stack seismic data are calculated separately for the porosity data volume, P-wave anisotropy data volume, and Poisson's ratio data volume, representing three types of porosity, fractures, and reservoir productivity. Using 3D post-stack seismic data, well logging data and geological stratification data of each well, the calibration of the target shale interval in this area and the interpretation of the relevant top and bottom positions are completed, and the horizon data ...

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Abstract

The invention discloses a method and a system for predicting plane distribution of different reservoirs. The method comprises the following steps of S1, acquiring a normalized seismic attribute data volume by using seismic data; S2, processing the normalized seismic attribute data volume to obtain similarity coefficient data of different reservoir types; and S3, performing reservoir probability data calculation on the attribute data of each CDP point on the plane by using the appearance boundaries of different reservoirs and the similarity coefficient data, performing color component normalization and assignment on the data subjected to reservoir probability data calculation, performing color fusion, and displaying. and obtaining a planar graph for reservoir prediction and evaluation. According to the method, a problem that different types of reservoirs, reservoirs and non-reservoirs cannot be accurately predicted and distinguished in the prior art is solved.

Description

technical field [0001] The invention relates to the technical field of geophysical exploration, in particular to a method and system for predicting the plane distribution of different reservoirs. Background technique [0002] In the field of geophysical exploration, after acquiring seismic data through conventional seismic acquisition, it is necessary to interpret the seismic data and carry out the corresponding reservoir prediction and interpretation process. In the process of reservoir prediction and interpretation, it is necessary to analyze the relevant logging data, and carry out relevant attribute extraction and inversion calculations on the seismic data, and then use the logging data, extracted or inverted attribute data to perform qualitative analysis on each other And quantitative analysis, identify the possible reservoir development areas and intervals, so as to complete the reservoir prediction work. [0003] As we all know, there are different types of reservoir...

Claims

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Application Information

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IPC IPC(8): G01V1/40G01V1/50
CPCG01V1/40G01V1/50G01V2210/624G01V2210/74Y02A10/40
Inventor 于靖贺燕冰郑健陈珂磷井翠聂舟黄君杨阳张晓丹罗虎
Owner 成都捷科思石油天然气技术发展有限公司
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