Seismic attribute-based spatial distribution prediction method for total content of organic carbon

A technology of total organic carbon content and seismic attributes, applied in the field of oil and gas geophysics, can solve the problem of low prediction accuracy

Inactive Publication Date: 2018-04-03
CHINA PETROLEUM & CHEM CORP +1
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However, the prediction accuracy of the linear fitting of a single geophysical parameter or the nonlinear fitting of multiple parameters in the above method is not high

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  • Seismic attribute-based spatial distribution prediction method for total content of organic carbon
  • Seismic attribute-based spatial distribution prediction method for total content of organic carbon
  • Seismic attribute-based spatial distribution prediction method for total content of organic carbon

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[0039]Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0040] This disclosure proposes a method for predicting the spatial distribution of total organic carbon content based on seismic attributes, including: using neural network methods to establish a nonlinear relationship between total organic carbon content in reservoirs and seismic attributes; predicting shale gas through seismic attribute data Spatial distribution of total organic carbon content in reservoirs.

[0041] Preferably, the metho...

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Abstract

The invention provides a seismic attribute-based spatial distribution prediction method for the total content of organic carbon. The method comprises the steps of establishing a nonlinear relation between the total content of organic carbon and seismic attributes by adopting the neural network method; and predicting the spatial distribution of the total content of organic carbon in the shale gas reservoir based on seismic attribute data. According to the method of the invention, firstly, the nonlinear relation between the total content of organic carbon and seismic attributes is established through selecting a training sample. Secondly, the nonlinear relation is applied to the whole seismic data body. On the basis of rock physical analysis, logging identification and logging evaluation, the TOC sensitive geophysical parameters of the shale gas reservoir are found, and the relation between a TOC characteristic curve and the earthquake response is established by adopting the neural network method. After that, the total content of organic carbon in the shale gas reservoir is predicted based on seismic multi-attribute data. As a result, the beneficial development region of the shale gas reservoir can be predicted and evaluated. The resource condition of the shale gas is comprehensively evaluated, and a favorable development region is optimized.

Description

technical field [0001] The invention relates to the technical field of oil and gas geophysics. In particular, it relates to a method for predicting the spatial distribution of total organic carbon content based on seismic attributes. Background technique [0002] The enrichment of shale gas requires a rich hydrocarbon source material base, and requires the content of hydrocarbon-generating organic matter to reach a certain standard. Compared with non-hydrocarbon source rocks, shale gas reservoirs, as "self-generation and self-storage" reservoirs, usually contain a considerable amount of organic matter. When shale is rich in organic matter, heating it can drive out oil and gas. Therefore, for shale gas reservoirs, the abundance of organic matter is an important index to evaluate whether a layer is conducive to development, and the total organic carbon content (Total organic carbon, TOC) is the main index reflecting the abundance of organic matter in the reservoir. Total or...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/40G01V1/30
CPCG01V1/30G01V1/40G01V2210/624G01V2210/63
Inventor 霍志周刘喜武许杰刘宇巍
Owner CHINA PETROLEUM & CHEM CORP
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