Beach-bar sand body fine prediction method

A prediction method and beach-bar technology, applied in the field of oil and gas exploration, can solve the problems of inaccurate well point data and difficulty in acquiring training images, and achieve the effects of good prediction effect, avoidance of multiple solutions, and high precision

Active Publication Date: 2018-12-21
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

[0005] Aiming at the above-mentioned problems in the prior art, such as inaccurate well point data and difficulty in obtaining training images, the present in

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  • Beach-bar sand body fine prediction method

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Embodiment

[0031] Embodiment: Select the typical beach bar sedimentary area of ​​Banqiao Sag, Huanghua Depression, Bohai Bay Basin as the research object, and the area of ​​this area is about 80km 2 , the second member of Paleogene Shahejie Formation widely develops beach-bar sand bodies, with a single sand body thickness of 0.5-10m, which is a typical thin-bed sand body deposition. There are currently 230 wells drilled in the area, with an average well spacing of about 400m, and high-resolution 3D seismic coverage of the whole area. The single-sand layer stratigraphic-structural model of the whole area has been established in the early stage, and the microfacies division of beach-bar facies has been completed. The existing Boolean simulation method, multi-point geostatistical method and fine prediction method of beach bar sand body in the present invention are used to predict the spatial distribution of beach bar sand in the research area.

[0032] The Boolean simulation method generat...

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Abstract

The invention relates to a beach-bar sand body fine prediction method. The beach-bar sand body fine prediction method comprises the specific steps that S1, morphology factors of a beach and a bar arecomprehensively analyzed by well shake to establish a prototype sedimentary model; S2, training images of the beach and the bar are separately established based on a Boolean simulation method; and S3,the training images are processed, the processed training images are input into a multi-point geostatistical simulation system, different training images are input into simulation areas with different microfacies development and combination features, a multi-point geostatistics Simpat algorithm is utilized to carry out simulation, and the geometrical morphology and a distribution rule of thin layer beach-bar sand are finely characterized. According to the beach-bar sand body fine prediction method, the Boolean simulation method and the multi-point geostatistics method are combined, the advantages of the Boolean simulation method and the multi-point geostatistics method are complementary, when the geometrical morphology and the distribution rule of a beach-bar sand body are characterized,the predictive effect is better, and the beach-bar sand body fine prediction method is more suitable for the practical geological condition of a thin layer of beach-bar sand body.

Description

technical field [0001] The invention belongs to the technical field of oil and gas exploration, and relates to beach bar sand body prediction technology, in particular to a beach bar sand body fine prediction method. Background technique [0002] Petroleum-bearing basins in eastern my country have entered the middle and late stage of exploration, and the exploration of large-scale sedimentary sand bodies formed by the influence of the main provenance of sedimentary basins is becoming more and more difficult. The beach-bar sand body is a typical representative of thin interbedded sand bodies, and it is an important sedimentary type in continental basins in my country. In recent years, it has become a research hotspot at home and abroad. In the major oilfields in eastern my country, fluvial facies and delta facies, once the main production layers, are in a serious situation of insufficient reserves, and beach bar sands have become important replacement areas. Compared with fl...

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Application Information

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IPC IPC(8): G01V1/30
CPCG01V1/306
Inventor 宋璠苏妮娜邱隆伟
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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