Spatial case reasoning method for comprehensive evaluation of oil and gas reservoirs

Abstract

The invention discloses a spatial case reasoning method for comprehensive evaluation of oil and gas reservoirs, which comprises the following steps: (1) Aiming at the horizons of the oil and gas reservoirs to be evaluated, the category of each drilling reservoir is determined, and the basic drilling parameters are interpolated and calculated. Export the results; (2) divide the area to be evaluated into a grid layer, and each grid is the object of case expression; (3) extract the basic parameter attributes and spatial characteristics corresponding to each grid in the grid layer value and reservoir category (partially available), so that the grid corresponds to the reservoir case; (4) Export all grid information in the grid layer and the grid information with the reservoir category to form the reservoir to be evaluated case set and case library; ( 5) Set the weight, and find the case with the highest similarity value from the case library for the data space similarity and / or attribute similarity of each case in the case set to be evaluated, and assign its reservoir category to the case to be evaluated; (6) will get All the cases of the reservoir category are linked to the grid layer, colored by category, and the classification map of the comprehensive evaluation of the reservoir is obtained.

Description

technical field [0001] The invention relates to the field of petroleum and natural gas geological exploration, in particular to a spatial case reasoning method for comprehensive evaluation of oil and gas reservoirs aimed at clastic rock reservoirs in sedimentary rock areas. Background technique [0002] In the field of oil and gas geological exploration, methods to find out the distribution of oil and gas resources usually include: traditional oil and gas reservoir comprehensive evaluation methods and reservoir comprehensive evaluation mathematical model methods. [0003] The comprehensive evaluation of traditional oil and gas reservoirs is mainly based on the independent evaluation of oil and gas geological experts. Experts in the field use the oil and gas geological data obtained in this field and use various statistical methods, relying on their own experience and professional knowledge to integrate different types of geological maps Stack up for qualitative research. Th...

AI Technical Summary

Problems solved by technology

Due to the large number of parameters affecting oil and gas reservoirs, the relationship between the reservoir performance and each evaluation parameter is often complex and nonlinear, and there are also strong or weak correlations between the parameters; The data are often inaccurate and random, therefore, the establishment of an accurate mathematical model for comprehensive reservoir evaluation is a difficult problem

Moreover, the existing mathematical models of this type of method have deep mathematical knowledge, complex principles, and the best training results are not easy to determine, making it difficult to promote and use in production units such as oil fields

In addition, due to the general spatial correlation among things, this type of method only uses the attribute eigenvalues ​​of the comprehensive evaluation parameters of the reservoir in the comprehensive evaluation of the reservoir, and does not consider the spatial relationship between or within the evaluation parameters when calculating the model. It shows that these spatial relationship eigenvalues ​​have a significant impact on the comprehensive evaluation and classification results of reservoirs

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