基于成本分析的高密度勘探观测系统优化设计与评价

Optimization and evaluation of high-density exploration geometry based on cost analysis

观测系统设计是地震资料采集的基础,其优劣将直接影响到后续的地震资料处理解释工作。高密度观测系统在多个实际工区的应用表明,经高密度观测系统采集的资料较老成果在信噪比和分辨率上有明显提高。本次研究基于高密度观测系统的主要采集参数与观测系统总成本、综合质量因子的关系,建立优化模型,并利用该模型对多套观测系统参数进行最优性价比评价分析,计算其总成本和综合质量因子,最终选取最优性价比的观测系统选出合适的观测系统参数,在保证采集质量的前提下使得采集成本最低。实际资料测试证明了该技术的有效性和可靠性。

Geometry design is an important part of the seismic data acquisition,whose quality will affect the seismic data processing and interpretation.In field,the purpose of geometry design is to obtain high-resolution,high-precision,and high signal-to-noise ratio seismic data.However,this will increase the cost of seismic data acquisition,which is not conducive to seismic exploration tasks.Due to cost constraints,it is impossible to obtain ideal seismic data.When designing an geometry,it is necessary to select an appropriate geometry parameters based on the in combination with the actual geology of the work area and optimization analysis.This study mainly focuses on the relationship between the main acquisition parameters of the observation system and the total cost of the observation system and the comprehensive quality factor to establish an optimization model.This model uses the model to perform optimal cost-performance evaluation and analysis of multiple sets of observation system parameters,and then selects appropriate geometry parameters based on based on the actual geology of the work area and carry out optimization analysis.The results on field data prove the validity and reliability of the method.