Evaluation and correction of logging acoustic waves under rock physics model constraint
Acoustic wave data is the most important information in oil exploration and development.The quality of acoustic wave data may be greatly affected by borehole environment,frequency dispersion,and so on,which results in data errors.In addition,some drilling wells did not collect wave data.So data errors and the lack of wave data will have a negative impact on subsequently analysis such as reservoir identification and hydrocarbon detection.Therefore,it is necessary to optimize acoustic wave data such as environmental correction,supplement or wave prediction.Currently,the evaluation and prediction of acoustic wave data are mainly based on the statistical results of drilled wells in the region.However,in deep water area,due to the long distance and significant geological differences among the drilled wells,the statistical methods have huge uncertainties.This article proposes a rock-physical model to evaluate data quality and even predict acoustic data.Based on the classical Xu & White rock-physical model,this article optimizes porosity interpretation by using density to calculate the porosity of mud-stone and getting better fit between modelling wave data and logging data.And this method can be applied to other wells.Finally,we can obtain velocities of different wells with different lithology in different depth by using a single model in a region,which provide a stable reference for the wave data quality evaluation and prediction,and guiding further reservoir prediction and gas detection.
Rock physics modelAcoustic wave simulationAcoustic wave correctionDeep water area
万方数据
维普
