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Method for predicting anisotropism distribution of different types of shale adsorbed gases

A heterogeneous and adsorbed gas technology, applied in the field of unconventional oil and gas exploration and development, can solve the problems of high cost, expensive measurement methods, unrealistic large-scale sampling, etc., and achieve the effect of low cost, simple technology and feasible operation

Inactive Publication Date: 2015-12-16
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

The existing resource evaluation of shale gas adsorbed gas basically uses the method of averaging the volume of source rocks for resource estimation, or performs observation and calculation for a single or limited sample. Limited samples cannot reflect the real complex with strong heterogeneity. Due to the actual situation of shale, the current technical methods cannot effectively predict the distribution of shale adsorbed gas with high precision.
And for actual samples, the measurement method is expensive and costly, and it is not realistic to take a large number of samples

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  • Method for predicting anisotropism distribution of different types of shale adsorbed gases
  • Method for predicting anisotropism distribution of different types of shale adsorbed gases
  • Method for predicting anisotropism distribution of different types of shale adsorbed gases

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specific Embodiment

[0098] Taking the N-38 well area in Dongying Sag, Shandong Province as an example, the shale in this well is widely distributed, and the degree of exploration and geological understanding is relatively high; six typical shale blocks at different depths of the third member of Shahejie Formation in Well N-38 were selected as test samples , these 6 samples are all large mudstone samples with stable deposition, reflecting a certain representativeness.

[0099] Step 1. Establish a comprehensive prediction model for shale gas adsorbed gas content

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Abstract

The invention belongs to the field of unconventional oil and gas exploration and development and specifically relates to a method for predicting the anisotropism distribution of different types of shale adsorbed gases. The method comprises a step 1 of establishing a shale gas adsorbed gas content conceptual model and a comprehensive prediction mathematic model; a step 2 of establishing a high-precision mathematic model for predicting the content of organic matters based on logging information; a step 3 of establishing a high-precision mathematic model for predicting the content of different minerals based on logging information; and a step 4 of computing the shale adsorbed gas amount and evaluating the anisotropism of the shale adsorbed gas distribution. The method establishes conceptual models in different forms, classifies shale adsorbed gases into organic adsorbed gas, clay mineral adsorbed gas, quartz adsorbed gas, other clastic rock mineral adsorbed gas, carbonate mineral adsorbed gas, and other saline mineral adsorbed gas, and establishes a method model so as to compute the content of the adsorbed gases in various forms.

Description

technical field [0001] The invention belongs to the field of unconventional oil and gas exploration and development, and in particular relates to a shale gas prediction model and method, which are used to predict the heterogeneity distribution of different types of adsorbed gas in shale. Background technique [0002] Shale gas refers to natural gas stored in fine-grained clastic rocks rich in organic matter, part of which exists in pores and fractures in a free state, and part of which is adsorbed on the surface of organic matter and minerals, which can be of biogenesis, pyrolysis or mixed origin , accumulate and form reservoirs under certain geological conditions and reach the value of economic exploitation. Shale adsorbed gas is an important form and component of shale gas, which is caused by the surface adsorption of organic and inorganic minerals in shale. It is first divided into organic matter adsorbed gas, clay mineral adsorbed gas, quartz adsorbed gas, Other clastic...

Claims

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Application Information

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IPC IPC(8): G01V11/00
Inventor 陈中红
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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