Observation System Evaluation Method Based on Similarity Analysis

Abstract

The invention provides a similarity analysis-based observation system evaluation method. The method includes the following steps that: step 1, the typical geological model of a target work area is established according to existing geological data; step 2, a theoretically designed observation system is adopted to perform forward modeling simulation on the model, processing and imaging are performedon a forward modeling single shot, so that a simulated section can be obtained; step 3, the geological model is converted into a reflection coefficient model; step 4, simulation wavelets used in theforward modeling simulation are adopted, convolution is performed on the simulation wavelets and the reflection coefficient model, so that a self-excitation and self-receiving analogy simulation section is obtained; step 5, a similarity coefficient is calculated according to the simulated section obtained by the forward modeling simulation and the section obtained through the convolution of the reflection coefficient model and the simulation wavelets; and step 6, the quality of the system is observed according to the similarity coefficient. With the similarity analysis-based observation systemevaluation method adopted, the imaging effect of the observation system can be judged according to the similarity coefficient, so that the observation system can be evaluated and optimized, and therefore, the observation system can be optimally optimized.

Description

technical field [0001] The invention relates to the technical field of oilfield development, in particular to an observation system evaluation method based on similarity analysis. Background technique [0002] At present, it is more and more difficult to develop the old oil regions in the east. It is more and more difficult to increase reserves and production by continuing to explore and develop hidden oil and gas reservoirs. In the western piedmont and desert areas and other complex surface structures, the propagation of seismic waves is very complicated and high Exploration and development are also more difficult in areas where imaging of steep structures is more difficult, all of which require a higher-density seismic exploration observation system for sound wavefield acquisition and higher-precision reservoir information. How to design the best observation system and how to most effectively evaluate the observation system to obtain underground imaging information is a ve...

AI Technical Summary

Problems solved by technology

How to design the best observation system and how to most effectively evaluate the observation system to obtain underground imaging information is a very critical issue. In the past, the evaluation of the observation system was only evaluated from the attributes, mainly from the attributes of the observation system. Evaluation is not intuitive, it is difficult to reflect the evaluation effect, and it is difficult to optimize the best observation system

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