Tight sandstone reservoir modeling method

Abstract

The present invention discloses a tight sandstone reservoir modeling method. The tight sandstone reservoir modeling method comprises the steps of: taking drilling and logging information as constraints to perform lithology inversion based on post-stack three-dimensional seismic interpretation data to obtain a plurality of inversion data volumes; comparing the inversion data volumes with a logginginterpretation conclusion to optimize an inversion data volume which can most reflect different lithologies; determining a lithology partition criterion according to the dependency of lithology data interpreted from the logging and the values in the optimized inversion data volumes; obtaining a three-dimensional logging lithology data volumes through lithology identification of the values of the inversion data volumes in each three-dimensional grid in the three-dimensional space based on the lithology partition criterion; setting virtual wells at the main body centers of sedimentary facies andthe internal portion of each boundary, and determining the values in the three-dimensional lithology data volumes corresponding to the virtual wells as the lithology data of the virtual wells; and taking the lithology data of the actual drilling wells and the virtual wells as modeling basic data to perform random simulation modeling to obtain a three-dimensional reservoir lithology model so as toachieve the purpose of fine description of the reservoir.

Description

technical field [0001] The invention relates to the technical field of oil and gas development, in particular to a modeling method for tight sandstone reservoirs. Background technique [0002] Reservoir fine geological modeling is the foundation and focus of oil and gas field development. Its significance lies in visually describing the structural characteristics of a reservoir, the type and distribution of sedimentary facies, the geometry and size of reservoirs, the distribution of reservoir parameters and heterogeneity. Qualitative characteristics, etc., and provide a reliable geological information carrier for gas reservoir engineering research. At present, the basic idea of ​​the more common reservoir fine description is: firstly, the rock core observation and analysis are carried out to determine the lithofacies type, and the logging interpretation and logging facies analysis are carried out in combination with the characteristics of the logging curve. The combination ...

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Problems solved by technology

[0005] (1) Under the condition of dense well pattern, core and logging data are mainly used to establish well point information, and geological modeling is carried out under the constraints of sedimentary facies analysis, seismic interpretation and architecture analysis, and the dependence on seismic data is low. To a certain extent, the effect of finely describing reservoirs can be achieved, but for the large well spacing in new blocks, especially the complex changes in fluvial tight reservoirs, the stochastic modeling method based on well points and conventional facies constraints cannot accurately describe The distribution of reservoirs in three-dimensional space;

[0006] (2) In sparse well pattern areas, the stochastic modeling technology based on seismic data constraints mainly combines post-stack seismic inversion data and logging interpretation conclusions to establish the probability body of reservoir distribution, which is used as interwell constraints to establish Geological model, but the result of probability-constrained simulation based solely on seismic data has a large number of solutions, and it is difficult to intuitively describe the geometric shape and spatial superimposition relationship of the reservoir body, and cannot effectively reflect the lithology of the reservoir Variation and depositional pattern characteristics

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