Tight sandstone reservoir potential index classification method

Abstract

The invention discloses a tight sandstone reservoir potential index classification method. The tight sandstone reservoir potential index classification method comprises the following steps that parameters of a target reservoir section of a whole gas field are analyzed to obtain independent parameters, then the independent parameters are sequenced according to influence factors of the independent parameters on gas production capacity from large to small, bidirectional conversion is performed on the independent parameters of each single well of the target reservoir section of the whole gas field, and thus effective data corresponding to the independent parameters can be obtained; effective data of each independent parameter is constructed into a column vector, and cross multiplication is performed on the first two column vectors according to a sorting result; then self-defined cross multiplication is performed on the cross multiplication result and the column vector sorted as the third to obtain potential indexes; and hierarchical clustering division is performed on the potential indexes to obtain a potential index division graph, so that tight sandstone reservoir potential index classification is completed. According to the tight sandstone reservoir potential index classification method, a set of potential region classification method suitable for sandstone reservoirs is established, and a practical and reliable optimization method which is accurate and objective in reservoir potential region and high in operability is formed.

Description

technical field [0001] The invention belongs to the field of oil and gas geology, and in particular relates to a method for classifying potential indicators of tight sandstone reservoirs. Background technique [0002] The optimization methods of sandstone reservoir potential areas at home and abroad are artificial divisions based on reservoir physical property maps and effective thickness maps, which are neither standard nor accurate, and can only roughly divide the area, and the potential of each well cannot be accurately determined. Sorting; if the evaluation area is large, the artificial division of potential areas will be more rough, which is not enough to guide the development of sandstone gas reservoirs in small areas; for different blocks, it cannot be divided according to the same reservoir evaluation standard. The characteristics of the block are artificially clustered and the reservoir is divided into several categories, which is too subjective, and there is no uni...

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Problems solved by technology

[0002] The optimization methods of sandstone reservoir potential areas at home and abroad are artificial divisions based on reservoir physical property maps and effective thickness maps, which are neither standard nor accurate, and can only roughly divide the area, and the potential of each well cannot be accurately determined. Sorting; if the evaluation area is large, the artificial division of potential areas will be more rough, which is not enough to guide the development of sandstone gas reservoirs in small areas; for different blocks, it cannot be divided according to the same reservoir evaluation standard. The characteristics of the block are artificially clustered and the reservoir is divided into several categories, which is too subjective, and there is no uniform standard, so it is not accurate

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