Shale gas sweet spot prediction based on multi-level fuzzy recognition

Abstract

The invention provides a shale gas sweet spot prediction method based on multi-level fuzzy recognition, and relates to the field of shale gas. The method comprises: listing a deposition condition, a storage condition and a storage condition as a criterion layer, and respectively listing the parameters of the deposition conditions, the parameters of the reservoir conditions and the parameters of the storage conditions as index layers, comparing the indexes of the same layer in pairs to form a plurality of discrimination matrixes, calculating to obtain the weight of each parameter in each indexlayer relative to the corresponding criterion layer, and determining the shale gas dessert according to the measured value of each parameter and the corresponding weight. The influence of various geological parameters in deposition conditions, reservoir conditions and storage conditions on the gas content of shale is systematically analyzed, the weights of the geological parameters of desserts indifferent tectonic regions are defined in combination with a multi-level fuzzy recognition method, and the distribution of the shale gas dessert regions is predicted through weighted summation in combination with a quantitative plane distribution diagram of the various parameters.

Description

technical field [0001] The invention relates to the field of shale gas, and in particular to a method for predicting shale gas sweet spots based on multi-level fuzzy identification. Background technique [0002] Rich shale gas resources are expected to alleviate the energy crisis we are facing. However, due to the complexity of shale formations, its exploration and development are difficult, and the cost of shale gas drilling is much higher than that of conventional oil drilling. This requires accurate prediction and identification of "sweet spot" potential areas for future exploration when developing shale gas reservoirs. [0003] The currently existing methods for evaluation of sweet spot geological parameters and optimization of sweet spot areas all have problems such as qualitative description, simple subjective assignment and scoring, multi-parameter comprehensive evaluation only through simple superposition, and single preservation condition index evaluation, which is...

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Problems solved by technology

[0003] The currently existing methods for the evaluation of geological parameters of sweet spots and the selection of sweet spot areas all have problems such as qualitative description, simple subjective assignment and scoring, multi-parameter comprehensive evaluation only through simple superposition, and single evaluation of preservation condition indicators, which are difficult to quantify.

This makes it difficult to quantify the geological characteristic parameters during the prediction process, and the prediction results of the superposition method are not comparable; at the same time, the weight of the impact of each geological characteristic parameter on the gas content is not considered, and the prediction plan obtained by the superposition method cannot judge the study area. A change in sweet spot area or trend within

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