Carbonate rock structure ingredient well logging quantitative recognition method and purpose thereof

Abstract

The invention discloses a carbonate rock structure ingredient well logging quantitative recognition method and a purpose thereof. The method mainly comprises three parts including porosity and water saturation well logging calculation, rock structure number parameter calculation and rock structure ingredient identification. When RFN obtained through calculation is smaller than 0.3, the structure is a micrite structure; when the RFN is between 0.3 and 1.1, the structure is a powder crystal structure; when the RFN is greater than 1.1, the structure is a fine crystal or particle structure. The sound wave time difference logging curve is adopted for calculating the porosity, the deep lateral resistivity well logging curve and the porosity are utilized for calculating the stratum water content saturability, a rock structure number formula is utilized for calculating the rock structure number parameter, and different rock structure ingredients are identified through cutoff values. The method provided by the invention is practically applied to the stratum of Majiagou formation of Ordovician system in Wuqinan region of Ordos Basin, and a better effect is obtained.

Description

technical field [0001] The invention relates to petroleum geological exploration and logging interpretation technology, and relates to a logging quantitative identification method of carbonate rock structure components and its application. Background technique [0002] Using well logging data to identify carbonate rock structure components has always been a difficult problem in the world. The identification of rock structure components is further subdivided on the basis of lithology identification, using conventional well logging curves, based on neural networks, cluster analysis and other mathematics The method can no longer achieve satisfactory results. The main technical bottleneck problem is the effective logging parameter extraction technology. Because the carbonate rock formation is strongly affected by karstification and fracture reformation, the lithology information measured by logging is disturbed, resulting in carbonate rock formation. The identification accuracy ...

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Problems solved by technology

[0009] This method effectively solves the technical bottleneck of rock structure component logging identification, but the Lucia rock structure number formula also has shortcomings: it is based on the fact that the porosity of formation cores ranges from 4% to 40%, while for domestic low-porosity carbon For salt rock reservoirs, the core porosity ranges from 2% to 12%, especially for formations with porosity less than 4%, this formula is no longer applicable, and the formula needs to be re-established according to domestic conditions

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