石油物探2025，Vol.64Issue(5)：910-920,11.DOI:10.12431/issn.1000-1441.2024.0165
廊固凹陷万庄地区沙河街组沙三中亚段储层预测研究
Reservoir prediction of Es3m of Shahejie Formation in Wanzhuang area of Langgu Sag
摘要
Abstract
The Langgu Sag has entered a stage with lithology or structural-lithologic oil and gas reservoirs as the primary targets.The insufficient understanding of the development and distribution of sand bodies has become a major issue restricting the evaluation and development of concealed oil and gas reservoirs at this stage.Therefore,the Wanzhuang area of the Shahejie Formation was studied,where the seismic data resolution is low;thin interbedded sand and mudstones are prevalent,and wave impedance overlap is severe.Based on forward modeling of seismic data and well log rock physics analysis,combined with seismic attribute analysis and waveform-indicated natural gamma simulation,favorable zones for sand body development in the Wanzhuang area were predicted.The results indicate that the attributes of maximum amplitude,root mean square(RMS)amplitude,average energy,total energy,standard amplitude deviation,and arc length can effectively indicate the development of sand bodies in the study area.Compared to traditional wave impedance inversion results,waveform-indicated simulation significantly improves the vertical and lateral resolution,and the inversion results better reflect the geological characteristics of thin interbedded sand and mudstones.A comprehensive prediction has identified 13 favorable zones for sandstone development in the study area.The predicted results can provide important references for subsequent studies on sedimentary microfacies,reservoir formation models,as well as well placement and trajectory optimization.关键词
储层预测/地震属性/波形指示模拟/万庄地区/沙河街组Key words
reservoir prediction/seismic attribute/waveform-indicated simulation/Wanzhuang area/Shahejie Formation分类
能源科技引用本文复制引用
张友铖,李德勇,周海廷,石岩,周振永,段驰宇,赵春娟..廊固凹陷万庄地区沙河街组沙三中亚段储层预测研究[J].石油物探,2025,64(5):910-920,11.基金项目
国家自然科学基金项目(42376060)、山东省自然科学基金项目(ZR2023MD050,ZR2017BD014)和中国石油前瞻性基础性科技攻关项目(2021DJ0205)共同资助. This research is financially supported by the National Natural Science Foundation of China(Grant No.42376060),Natural Science Foundation of Shandong Province(Grants Nos.ZR2023MD050,ZR2017BD014)and Forward-looking Basic Science and Technology Research Project of Petroleum China(Grant No.2021DJ0205). （42376060）
