Tight sandstone porosity and permeability prediction method based on reservoir quality main control factor analysis

Abstract

The invention discloses a tight sandstone porosity and permeability prediction method based on reservoir quality main control factor analysis. The method comprises the following steps: 1) performing quantitative diagenesis evaluation; 2) selecting diagenesis factor reflection; 3) selecting multivariate linear stepwise regression as a data analysis method, and realizing porosity and permeability prediction through reservoir quality development main control factor analysis; and 4) performing regression analysis on the porosity and permeability according to a regression analysis method. According to the prediction method disclosed by the invention, the reservoir quality influencing factors of 8 sections of sandstone in the east region of the Sulige gas field are clear, a reservoir quality prediction model is established, and the prediction effect is excellent; and moreover, a novel thought and method can be provided for tight sandstone reservoir quality quantitative prediction in other regions.

Description

technical field [0001] The invention relates to the technical field of geological rock survey, in particular to a method for predicting the porosity and permeability of tight sandstone based on the analysis of main controlling factors of reservoir quality. Background technique [0002] With the increasing demand for oil and gas resources around the world, and the depletion of conventional oil and gas resources, unconventional oil and gas resources have gradually become the focus of geologists in the context of the deepening contradiction between energy supply and demand. Tight sandstone gas has become a new exploration target because of its large resource potential and good development prospects. [0003] The Sulige gas field in the Ordos Basin is one of the largest gas fields discovered in China so far. The main production layers are the Shan 1 and Shan 2 members of the Shanxi Formation and the He 8 member of the Shihezi Formation in the Permian. The sandstone has low poros...

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Problems solved by technology

[0010] There have been a lot of research on the above problems, trying to clarify the influencing factors and predict the porosity and permeability of deep reservoir rocks; however, most of the research results on reservoir quality control factors are limited to the qualitative analysis and analysis of the factors affecting reservoir quality development. Description, although very few scholars can quantitatively evaluate the factors affecting reservoir development, there are few evaluation factors, lack of comprehensive analysis of multiple factors of sedimentation and diagenesis, and no quantitative evaluation of the main controlling factors affecting reservoir quality through systematic numerical analysis , so the prediction of reservoir quality based on the above research results is one-sided; in addition, the relatively extensive prediction of reservoir quality based on well logging data requires a large amount of data calibration, which requires a large workload and high cost

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