石油物探2017，Vol.56Issue(3)：328-337,10.DOI:10.3969/j.issn.1000-1441.2017.03.003
鄂尔多斯盆地北部复杂碳酸盐岩横波速度预测研究
An improved S-wave velocity prediction method for complex carbonate reservoir in North Ordos Basin,China
摘要
Abstract
It developed carbonate reservoir with complex lithology and complex pore structure in the 5th Ma member of Majiagou formation,in D Gasfield of Ordos Basin.The lithology of reservoir developed in this area mainly includes dolomite and limestone mixed up with clay and anhydrite quartz,of which clay content is high.Xu-Payne model as a classical rock physics model for the carbonate reservoirs in the industry cannot effectively calculate the S-wave velocity in this area.In this article,the carbonate reservoir is equivalent to a mixture of dolomite,calcite,quartz,clay,anhydrite and pore fluid,simplifying the porosity of the reservoir as stiff pores and compliant fractures.Combined Gassmann equation,Wood equation and V-R-H average equation with multi-pore differential Kuster-Toks(o)z rock physics model,we establish a rock physics model for carbonate reservoir,on which the volume percentages of stiff pores and compliant fractures are inverted respectively using conventional logging data under the constraint of the P-wave velocity.Then,the volume percentages of stiff pores and compliant fractures are employed to calculate the S-wave velocity.When the method is applied to the actual logging data in the D Gasfield,the calculated root mean square error and correlation coefficients of the S-wave velocity from the new model have superiority over than the predicted results from Xu-Payne model.It proves that the above S-wave velocity prediction method is applicant and effective for the carbonate reservoir with complex lithology and complex pore structure.关键词
Xu-Payne模型/碳酸盐岩/复杂孔隙结构/复杂岩性/横波速度预测Key words
Xu-Payne model/carbonate reservoir/complex pore structure/complex lithology/S-wave velocity prediction分类
天文与地球科学引用本文复制引用
张秉铭,刘致水,刘俊州,夏红敏,折向毅,王箭波,刘兰锋..鄂尔多斯盆地北部复杂碳酸盐岩横波速度预测研究[J].石油物探,2017,56(3):328-337,10.基金项目
国家科技重大专项"鄂北深层岩溶储层地震预测技术"(2017ZX05005-004-009)及中国石油化工股份有限公司科技部项目"鄂北奥陶系风化壳储层及含气性地震预测技术"(P16066)联合资助.This research is financially supported by the National Science and Technology Major Project of China(Grant No.2017ZX05005-004-009) and the project of the Ministry of Science and Technology of SINOPEC (Grant No.P16066). （2017ZX05005-004-009）
