Oil and gas resource quantity evaluation method and evaluation system

Abstract

The invention provides an oil and gas resource quantity evaluation method, which comprises the steps of dividing an oil and gas-accommodating geological area into a plurality of oil and gas evaluationunits, wherein each oil and gas evaluation unit has the same / similar reservoir cover combination and reservoir forming combination; calling an ArcGis platform, distributing each oil and gas field andeach exploratory well to a corresponding oil and gas evaluation unit according to the distribution positions of the oil and gas fields and the exploratory wells, and obtaining a discovered oil and gas field scale sequence and an exploratory well sequence in each oil and gas evaluation unit; determining the number of to-be-discovered oil and gas fields in each oil and gas evaluation unit and the scale of the to-be-discovered oil and gas fields; and simulating the number of the to-be-discovered oil and gas fields and the scale of the to-be-discovered oil and gas fields by adopting the Mote Carlo method to obtain the to-be-discovered recoverable resource quantity of the oil and gas evaluation unit. The total oil and gas resource amount of the oil and gas-accommodating geological region is calculated by utilizing the evaluation parameters of the scale of the oil and gas field to be discovered, so that the evaluation result tends to be objective and accurate.

Description

technical field [0001] The invention relates to the technical field of oil and gas digital information, in particular to an oil and gas resource evaluation method and evaluation system. Background technique [0002] There are more than 50 kinds of conventional oil and gas resource evaluation methods, such as footage discovery rate method, well number discovery rate method, annual (time) discovery rate method, saturated exploration method; oilfield scale sequence method, discovery process model method, reservoir Scale distribution method; area abundance analogy method, volume abundance analogy method, volume velocity method; basin simulation method, chloroform asphalt "A" method, hydrogen index mass balance method, organic carbon mass balance method, etc. But in terms of its basic principles and theoretical basis, there are no more than three categories: statistical method, analogy method, and genetic method. In foreign countries, due to the different functions of evaluators...

AI Technical Summary

Problems solved by technology

[0003] However, the shortcomings of the existing statistical methods mainly include ① the parameters involved in the calculation are too simple, and lack obvious connection with geological analysis; ② some parameters involved in the calculation have no clear geological meaning; generally applicable to mature or relatively mature exploration This is mainly due to the restriction of the exploration results data of the evaluation object; ④ due to the unexpected discovery of unpredictable oil and gas field types that may occur in future exploration, and the improvement of technology and As the economy improves, the value of resources estimated by this type of evaluation method generally tends to be conservative

[0004] In the prior art, the analogy between the parameters of the analogy method requires subjective judgment, so the evaluation result is greatly affected by subjective factors

[0005] In the existing technology, the basin simulation method is the main genetic method, which has two main shortcomings: ① The estimated oil and gas resources are geological resources without considering time and economy; ② The calculation of resources involves hydrocarbon expulsion The selection of coefficient and aggregation coefficient, and the values ​​of these two parameters are greatly affected by human factors, thus reducing the reliability of resource estimation results, which is also the biggest shortcoming of genetic method to estimate resource

Images