鄂尔多斯盆地碳酸盐岩风化壳储层综合评价技术
|
摘要
如何综合利用钻井、地质、测井、地震资料进行碳酸盐岩风化壳储层评价是鄂尔多斯盆地下古生界天然气勘探中亟须解决的问题。利用测井资料采用迭代拟合的方法进行岩石物性分析 ,用正反演模型、合成记录及特征相关法在“三高”和波阻抗反演剖面上进行精细的层位标定 ;根据对碳酸盐岩风化壳沉积特征分析 ,提出了求取风化壳泥质含量的方法并应用此结果在BCI剖面上消除了风化壳泥质含量的变化对速度、波阻抗的影响 ,实现风化壳储层空间展布和厚度的准确预测 ;采用AVO岩性反演、波形特征分类和人工神经网络模式识别方法进行了储层特征的综合评价 ,提出了下一步的勘探目标。
Using all available information (drilling,geology,well-logging and seismic data) to evaluate carbonate weathering crust reservoir is a hard job in gas exploration in lower Paleozoic reservoirs in the Erdos basin.In this paper,an iterative fitting method is used in petrophysical interpretation by means of well-logging data;an approach of forward modelling,synthetic record and characteristic correlativity is used in the fine calibrating on the "3-high" and impedance seismic section;a new method based on sedimentary facies analysis is used to obtain shale content of the weathering crust and then the result used to remove the effect of the shale content on the velocity and impedance to achieve the prediction of the distribution and thickness of the reservoir;and AVO lithologic inverse modelling,wave characteristic classification and ANN (artificial neural network) pattern recognition are adopted to the synergistic reservoir evaluation and the prospect is given.
Using all available information (drilling,geology,well-logging and seismic data) to evaluate carbonate weathering crust reservoir is a hard job in gas exploration in lower Paleozoic reservoirs in the Erdos basin.In this paper,an iterative fitting method is used in petrophysical interpretation by means of well-logging data;an approach of forward modelling,synthetic record and characteristic correlativity is used in the fine calibrating on the "3-high" and impedance seismic section;a new method based on sedimentary facies analysis is used to obtain shale content of the weathering crust and then the result used to remove the effect of the shale content on the velocity and impedance to achieve the prediction of the distribution and thickness of the reservoir;and AVO lithologic inverse modelling,wave characteristic classification and ANN (artificial neural network) pattern recognition are adopted to the synergistic reservoir evaluation and the prospect is given.
引文
[1] 姚逢昌.地震横向预测技术研究[A].石油地震勘探技术交流会论文集[C].北京:石油工业出版社,1993.10—14.
[2] 潘存焕.SH盆地碳酸盐岩风化壳储层地震横向预测[A].石油地震勘探技术交流会论文集[C].北京:石油工业出版社,1993.118—124.
[3] 蒋加钰,侯丽萍,薛风琴.W1井区马五5白云岩展布预测[J].石油物探,1997,36(3):95—104.
[4] 周竹生,周熙襄.宽带约束反演方法[J].石油地球物理勘探,1993,28(5):523—536.
[5] 边西燕,等.特征法用于合成测井解释[J].石油物探,1997,36(2):105—118.
[2] 潘存焕.SH盆地碳酸盐岩风化壳储层地震横向预测[A].石油地震勘探技术交流会论文集[C].北京:石油工业出版社,1993.118—124.
[3] 蒋加钰,侯丽萍,薛风琴.W1井区马五5白云岩展布预测[J].石油物探,1997,36(3):95—104.
[4] 周竹生,周熙襄.宽带约束反演方法[J].石油地球物理勘探,1993,28(5):523—536.
[5] 边西燕,等.特征法用于合成测井解释[J].石油物探,1997,36(2):105—118.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心