Evaluation method for tight oil well reserves

Abstract

The invention discloses an evaluation method for tight oil well reserves, and relates to the technical field of oil and gas exploration and development. The problem that the prediction precision of the tight oil well reserves is low is mainly solved. Geological factors of a tight oil well region and the exploration states of tight oil wells are utilized for grading different tight oil wells to obtain the abundance of each tight oil well in each grade of tight oil wells, through calculating the abundance planar distribution, the economic coefficient of each tight oil well in each grade of tight oil wells is obtained, then through the economic coefficients, all the grades of tight oil wells are divided into different types, and on the basis of the area of each type tight oil well in each grade of tight oil wells and the abundance of each type tight oil well in each grade of tight oil wells, the reserves of all the types of tight oil wells in all the grades of tight oil wells are finally obtained. The evaluation method for the tight oil well reserves effectively improves the prediction precision of the tight oil reserves.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration and development, in particular to a tight oil well reserve quality evaluation method. Background technique [0002] Tight oil refers to reservoirs in overburden matrix with a permeability less than or equal to 0.1×10-3 μm 2 Petroleum in tight reservoirs such as tight shale, tight sandstone or tight carbonate rock. At present, tight oil is still in the initial stage of exploration, and it will be an important growth point for future oil production. In 2014, the global tight oil production has reached 200 million tons. According to domestic and foreign institutions, the global technically recoverable reserves of tight oil are as high as 30-40 billion tons. Since tight oil is a kind of unconventional oil and gas resources, it has the characteristics of large-scale continuous accumulation, accumulation within or near the source, and integration of source and storage. are evaluated us...

AI Technical Summary

Problems solved by technology

The analogy method requires a large amount of comparison data similar to the evaluated area. When there is a lack of suitable data, the prediction accuracy of oil and gas productivity is low; in addition, even with more comparison data, due to the heterogeneity of tight oil reservoirs, there is In areas with the same parameters, there will still be great differences in production capacity, which directly affects the estimation of recoverable reserves. Therefore, the accuracy of tight oil reserves obtained by the analogy method is low and cannot meet production needs

[0004] The inventors of the present application found that due to the special characteristics of tight oil resources, when using the above existing conventional methods for evaluation, the influence of geological factors, engineering factors and economic factors of tight oil could not be fully considered, which eventually led to inaccurate evaluation results. low precision

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