Oil and Gas Zone Evaluation Using Controlling Factor Parameters
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Solution Overview
Problem
Current oil and gas zone effectiveness evaluation methods suffer from low coincidence rates due to reliance on human experience, limited data, and inability to establish a unified standard, particularly in lower exploration areas, where conditions vary greatly and controlling factor parameters are not accurately considered.
Innovation Solution
An oil and gas zone effectiveness evaluation method that calculates zone evaluation values by obtaining controlling factor parameter distributions, including stratum dip angle, fault, and hydrocarbon generation abundance, and using these to determine accumulation and evaluation parameter values, thereby providing a quantitative assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multi-factor weighted evaluation method is used, then evaluation can be performed with multiple parameters, but the weight coefficient is determined artificially resulting in large indeterminacy
Solution Approach 1:
The patent transforms the evaluation system from using manually determined weight coefficients to using objectively derived controlling factor parameters. The key parameters (stratum dip angle, fault, unconformity, reservoir thickness, cap rock thickness, oil generation abundance, gas generation abundance) are extracted and quantified from geological data, replacing subjective weight assignments with measurable geological indicators that directly control hydrocarbon accumulation.
2Ease of manufacture
If geological condition analogy method is used, then evaluation can be performed based on existing data, but the result is influenced greatly by human experience and level of data acquisition
Solution Approach 1:
The patent replaces the manual, experience-based geological analogy method with an automated computational system. The evaluation process is transformed from subjective expert judgment to objective mathematical calculation using controlling factor parameters, eliminating the influence of human experience and data acquisition limitations through standardized computational procedures.
3Quantity of substance
If evaluation methods based on resource quantity are used, then resource assessment can be performed, but resource quantity cannot determine whether an industrial oil and gas reservoir can be obtained
Solution Approach 1:
The patent shifts from evaluating overall resource quantity to evaluating local accumulation conditions through controlling factor parameters. Instead of assessing total hydrocarbon resources in a region, the method focuses on specific local conditions (stratum dip angle, fault characteristics, unconformity, reservoir thickness, cap rock thickness, generation abundance) that determine whether industrial reservoirs can form at specific locations.
Data Source
AI summary
There is an oil and gas zone effectiveness evaluation method. The oil and gas zone effectiveness evaluation method has the steps of: obtaining a controlling factor parameter distribution of a target interval; obtaining an evaluation parameter lower limit value of an industrial oil and gas reservoir; obtaining an accumulation parameter value of each grid coordinate point according to the controlling factor parameter distribution; obtaining an evaluation parameter processing value of each grid coordinate point according to the evaluation parameter, the evaluation parameter lower limit value and the accumulation parameter value of the grid coordinate point; and obtaining a zone evaluation value of the target interval according to the evaluation parameter processing value of the grid coordinate point. There also is an apparatus that is capable of improving the evaluation coincidence rate.