Method for calculating reservoir well testing permeability by utilizing logging information and computer
A technology of well logging data and permeability, applied in the direction of complex mathematical operations, etc., can solve problems such as the inability to realize accurate quantitative evaluation of reservoir productivity and the inability to accurately reflect the permeability of effective production layers, and achieve continuous evaluation and accurate calculation Effect
Active Publication Date: 2020-12-11
中海石油(中国)有限公司深圳分公司
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[0012] Based on the above analysis, it can be seen that in the quantitative evaluation of actual reservoir productivity, the average value of the absolute permeability of the effective reservoir in the perforated interval obtained by logging interpretation cannot accurately reflect the permeability of the effective production layer. Interpreted permeability is unable to achieve the purpose of accurate quantitative evaluation of reservoir productivity
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[0041] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.
[0042] The correlation between the average absolute permeability of the effective reservoir in the perforated interval and the well test interpretation permeability model directly established by the statistical regression method is poor ( figure 1 ), the accuracy cannot meet the requirements of capacity forecasting. This embodiment provides a method for calculating reservoir well test permeability using well logging data. This method can convert the absolute permeability of the reservoir interpreted by well logging into the permeability of well test interpretation, so as to realize continuous evaluation of reservoir natural permeability. The purpose of capacity size.
[0043] refer to Figure 2 to Figure 7 , to descri...
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The invention relates to a method for calculating reservoir well testing permeability by utilizing logging information and a computer. According to the method, a reservoir stratum grading method is adopted to reflect different contributions of reservoir stratums of different levels in the perforation interval to the productivity, and the synthetic permeability of the reservoir stratums of the perforation interval is calculated by endowing the reservoir stratums of different levels with weight coefficients of different absolute permeability; and finally, a function relationship between the synthetic permeability and the well testing interpretation permeability is established to realize accurate calculation of the well testing permeability. According to the method, the reservoir stratum absolute permeability of well logging interpretation can be converted into the well testing interpretation permeability, so that the purpose of continuously evaluating the natural productivity of the reservoir stratum is achieved.
Description
technical field [0001] The invention relates to the field of well logging evaluation of petroleum geological exploration reservoirs, and more specifically relates to a method and a computer for calculating the permeability of reservoir well testing by using well logging data. Background technique [0002] In the field of petroleum geology, a reservoir refers to a rock formation with interconnected pores that allows oil and gas to be stored and seeped, referred to as a reservoir. Quantitative evaluation of reservoir productivity is an important task in the field of petroleum exploration and development. For a long time, well testing analysis has been the most accurate method to obtain productivity. However, due to the limitation of long testing time and high construction cost, well testing can only Construction is carried out in the main target layer, and the production capacity of each layer of each well cannot be obtained. Using well logging information to carry out resear...
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IPC IPC(8): G06F17/10
CPCG06F17/10
Inventor 王清辉冯进管耀刘君毅杨清潘卫国李纪智
Owner 中海石油(中国)有限公司深圳分公司