Data correcting method applying petroleum inclusion to carry out oil and gas migration tracking and ancient and present oil layer recognition

Abstract

The invention relates to a data correcting method applying a petroleum inclusion to carry out oil and gas migration tracking and ancient and present oil layer recognition, which is characterized in that for the petroleum inclusion of each cement, a correction formula of GOI and FOI statistic data is disclosed in the specification, wherein GOImc is the relative number of a corrected single cement (such as silicious cement) and an oil-bearing inclusion in a fissure thereof, and the GOIm is the original data; Cm represents the content of the cement and is an average value; and CC represents the content of carbonaceous asphalt and is the average value of the content of the carbonaceous asphalt. Similarly, the correction of FOI can be realized, the FOImc is the frequency of occurrence of the m cement after correction and the oil-bearing inclusion in the fissure thereof, and the FOIm is the original data. Microscopic observation is carried out on ordinary sheets or casting sheets, the contents of the cement and the carbonaceous asphalt corresponding to the petroleum inclusion are counted, and the number of statistical points is between 100 and 1000; and a fluorescence microscope is utilized to observe the dissolution phenomenon of the carbonaceous asphalt by oily asphalt so as to identify the carbonaceous asphalt, and the formula (2) and the formula (3) are utilized to correct the GOI and the FOI.

Description

technical field The invention belongs to a new technology in the field of oil and gas exploration, in particular to a method for correcting the passing data of oil inclusions. technical background Where the oil discharged from the source rock migrates, accumulates and accumulates is the primary issue in the deployment of oil exploration. At present, various chemical components of crude oil are mainly tested and the migration direction and channel of oil and gas are judged according to their spatial distribution characteristics. Nitrogen-containing compounds are outstanding representatives of these chemical components and have been widely used. Since the test object is crude oil, the samples are mainly collected from production wells, so they are subject to greater restrictions. It is worth noting that in the case of multi-source, multi-stage migration and accumulation, these crude oil samples are a mixture of multi-stage oils, and it is difficult to track oil and gas migra...

AI Technical Summary

Problems solved by technology

Since the diagenetic environment has a relatively strong influence on the GOI or FOI value, i