Interlayer identification prediction method in fluvial facies thick oil layer

A prediction method and interlayer identification technology, which is applied in the direction of earthwork drilling and production, wellbore/well components, etc., can solve the problem that the distribution of interlayers between wells cannot be truly determined

Inactive Publication Date: 2014-12-31
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

The stochastic simulation method is a geostatistical method, that is, taking the interlayer statistical law as the constraint condition, taking the phase control theory as the guidance, using the dense well pattern data, and adopting the co

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  • Interlayer identification prediction method in fluvial facies thick oil layer
  • Interlayer identification prediction method in fluvial facies thick oil layer
  • Interlayer identification prediction method in fluvial facies thick oil layer

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Embodiment Construction

[0025] In order to make the above and other objects, features and advantages of the present invention more comprehensible, preferred embodiments are listed below and described in detail in conjunction with the accompanying drawings.

[0026] like figure 1 as shown, figure 1 It is a flow chart of a specific embodiment of the method for identifying and predicting interlayers in fluvial thick oil layers of the present invention.

[0027] In step 101, using coring wells and logging data, establish lithology and electrical property identification standards (qualitative) for three types of interlayers (shale interlayers, lime interlayers and physical interlayers) and quantitative assignment standards for different types of interlayers.

[0028] The muddy interlayer is the most important type of interlayer in continental sedimentary reservoirs. The lithology of the muddy interlayer is gray or gray-green mudstone, etc., and it is formed in a depositional environment with weak hydrody...

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Abstract

The invention provides an interlayer identification prediction method in a fluvial facies thick oil layer. The interlayer identification prediction method in the fluvial facies thick oil layer comprises the following steps: (1) interlayer identification standards of mud interlayer, ash interlayer and matter interlayer are built by using a coring well and logging information; (2) the well point interlayer identification is performed according to the interlayer identification standards; (3) the prediction of interlayer in a well is performed; and (4) an interlayer three-dimensional space distribution space is built by adopting a method of combining deterministic modeling with random modeling. The interlayer identification prediction method in the fluvial facies thick oil layer realizes the purpose of the research on the control of remaining oil distribution through the interlayer by using the closed coring well data and the numerical simulation research according to the interlayer description prediction result.

Description

technical field [0001] The invention relates to the field of reservoir fine description in petroleum development, in particular to a method for identifying and predicting interlayers in fluvial thick oil layers. Background technique [0002] After the reservoir development enters ultra-high water cut, the heterogeneity of the reservoir becomes more serious, and the distribution of remaining oil and its influencing factors become more complex. It controls the heterogeneity inside the sand body, and then controls the distribution of remaining oil. Continental oil reservoirs are the main positions of oil and gas resources in China, among which fluvial oil reservoirs account for more than half of the oil and gas resources. Therefore, it is very important to carry out research on interlayers in fluvial thick oil layers to lay a foundation for the study of remaining oil distribution, and to further tap the potential of high water-cut reservoirs and improve oil recovery. [0003]...

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Application Information

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IPC IPC(8): E21B49/00
Inventor 曹绪龙郭士博贾俊山王延忠柳世成黄迎松唐从见刘志宏陈瑞谭保国许强陈燕虎李响王宁陈宁宁
Owner CHINA PETROLEUM & CHEM CORP
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