Gene Quantitative Microbial Oil and Gas Exploration Method Based on Mathematical Statistics

Abstract

The invention discloses a gene quantification microbial prospection method for oil and gas based on mathematical statistics, and relates to the technical field of microbial prospection for oil and gas. The method comprises the following seven steps: arranging and acquiring sample points, performing sample oil and gas microbial gene quantitative tests, drawing a data accumulation frequency curve, performing subsection optimal linear-regression analysis, determining oil and gas microorganism abnormal grade, describing oil and gas plane distribution characteristics, and locating an oil and gas reservoir target region. Based on a mathematical statistics method, the method improves excavation depth of gene quantitative data, and a set of gene quantitative oil and gas exploration technology method system which is complete in principle is formed. The method breaks through dependency of the prior art on borehole data, broadens application range of a gene quantitative technology, and is characterized by good operability, and greatly improves accuracy of determination of a oil and gas reservoir target region range.

Description

technical field [0001] The invention relates to the technical field of microbial oil and gas exploration, in particular to a gene quantitative microbial oil and gas exploration method based on mathematical statistics. Background technique [0002] Light hydrocarbons in underground oil and gas reservoirs can migrate vertically to the surface and produce unique light hydrocarbon microbial anomalies near the surface. Using this principle, microbes can predict underground oil and gas reservoirs, which is called oil and gas microbial detection technology. This technology is considered to be the most cost-effective oil and gas geochemical prospecting technology at present. Among them, the MPOG (Microbial Prospection for Oil and Gas) technology developed by Dr. Wagner of Germany and the MOST (Microbial Oil Survey Technique) microbial detection technology developed by Dr. Hitzman of the United States are widely used and are relatively recognized commercial technologies. However, th...

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Problems solved by technology

[0003] (1) Test method: Both techniques use the traditional culture method to detect abnormal hydrocarbon oxidizing bacteria in oil and gas. However, most of the light hydrocarbon oxidizing bacteria cannot be cultured, and it is difficult to reflect the information of all light hydrocarbon oxidizing bacteria in situ by the culture method

The test results are qualitative-semi-quantitative. Strictly speaking, this method can only be used to qualitatively answer the question of whether there may be oil and gas reservoirs at a certain point, and cannot be used as quantitative data interpolation to predict oil and gas distribution characteristics

In addition, the culture method is directional to control factors such as temperature, time, medium ratio, light hydrocarbon gas concentration, etc., and the difference between the obtained light hydrocarbon microorganisms and the in situ information may be extremely large.

[0004] (2) Division of anomalous systems: the limitations of test methods lead to doubts about the reliability of data results

However, in terms of division of anomaly systems, the original technology is still used, and the technical advantages of quantitative data in oil and gas reservoir prediction have not been fully developed.

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