Southwest Petroleum University

China University of Geosciences (wuhan)

Xiaoming Zhao

Lei Chen

Kun Zhang

Bin Li

Xueying Wang

Fengli Han

Shu Jiang

Jun Peng

Xuejiao Yuan

Pei Liu

Jiawang Ge

Wenjing Ran

Kun Qi

Yan Zhen

Li Liu

A three-dimensional characterization method of a hydrocarbon secondary migration channel includes: step 1, collecting lithofacies seismic inversion data of a research area, and constructing a three-dimensional geological model including mudstone and sandstone; step 2, performing lithofacies attribute determination and updating on planar mudstone data; step 3, performing lithofacies attribute determination and updating on sectional mudstone data; step 4, adding fault data and updating lithofacies attributes according to an intersection relationship between a sand body distribution area and the fault to obtain a model intersecting with the fault and a model without intersecting with the fault; step 5, performing a zigzag connectivity judgment on a sand body distribution area to obtain a judgment result, and updating lithofacies attributes according to the judgment result; step 6, obtaining a target three-dimensional geological model; and step 7, determining the hydrocarbon secondary migration channel.

Three-dimensional characterization method of hydrocarbon secondary migration channel

A data processing method includes: collecting test data of a target rock sample in different gas adsorption experiments; the test data including pore sizes and pore volumes corresponding to the pore sizes and including at least two selected from the group consisting of the test data with pore sizes less than 3 nm in COadsorption experiment, the test data with pore sizes in 1.5 nm to 250 nm in Nadsorption experiment and the test data with pore sizes in 10 nm to 1000 &#x3bc;m in high-pressure mercury adsorption experiment; and fitting the test data in overlapping ranges of the pore sizes using a least square method, and obtaining target pore volumes corresponding to the pore sizes respectively. The accuracy of joint characterization of shale pore structures can be improved by using mathematical methods to process the data in overlapping ranges of pore sizes among different characterization methods.

Joint characterization method of pore structures based on least square method and data processing method

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Chengdu, China

Xiaoming Zhao