Oil and gas reservoir comprehensive assessment oriented spatial case-based reasoning method

Abstract

The invention discloses an oil and gas reservoir comprehensive assessment oriented spatial case-based reasoning method. The method comprises the following steps: (1) aiming to a position of a to-be-assessed area of the oil and gas reservoir, determining types of various drilled reservoirs, interpolating basic parameters of the drilling, and exporting the result; (2) partitioning the to-be-assessed area into grids and generating a grid pattern layer, wherein each of the grids is a case expression object; (3) extracting the basic parameter attribute, a spatial feature value and the reservoir type (a part of grids have) corresponding to each of the grids in the pattern layer; (4) respectively exporting all and provided grid information of the reservoir types in the grid pattern layer, and constituting a reservoir to-be-assessed case set and a case library; (5) setting weights, finding the case with the highest similarity from the case library according to the spatial similarity and / or attribute similarity of each case in the to-be-assessed case set, and attaching the reservoir type to the to-be-assessed case; (6) correlating all the obtained cases of the reservoir type to the grid pattern layer, coloring the grids according to the type, and at last obtaining a reservoir comprehensive assessment classification chart.

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

Images