综合地球物理数据处理新方法在西部油气勘探中的应用
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摘要
20世纪80年代以来,非地震地球物理勘探仪器有了长足的进步,采集精度的提高,采集手段与参数的多样化,为我国西部新区和南方海相碳酸盐岩地区的油气勘探提供了新的方法和途径,同时对数据处理与解释也提出了更高的要求。山区重力资料曲化平,小波分析及高阶统计量等现代信号处理方法,重震、重磁、电震的联合反演与交互反演,三维可视化反演,BP人工神经网络方法等在综合地球物理处理解释中得到广泛应用。在我国西部新区与南方海相碳酸盐岩地区,综合地球物理数据处理新方法技术的应用取得了较好的地质效果。
Since 1980s, non-seismic geophysical instrumentation has achieved great progress in its acquisition accuracy, gathering styles and diversification of parameters, which provides new approaches for petroleum exploration in the newly developed area of Western China and Southern marine carbonate area, and also makes higher demands on data processing and interpretation. Many new methods, such as reduction of gravity data to a horizontal plane, wavelet analysis, higher order statistics, joint inversion and interactive inversion of gravity, magnetic, electric and seismic data, 3-D visualized inversion, as well as BP artificial network method have been widely used in the integrated data processing. The performances of the new methods were illustrated with real data from the newly developed area of Western China and Southern marine carbonate area.
Since 1980s, non-seismic geophysical instrumentation has achieved great progress in its acquisition accuracy, gathering styles and diversification of parameters, which provides new approaches for petroleum exploration in the newly developed area of Western China and Southern marine carbonate area, and also makes higher demands on data processing and interpretation. Many new methods, such as reduction of gravity data to a horizontal plane, wavelet analysis, higher order statistics, joint inversion and interactive inversion of gravity, magnetic, electric and seismic data, 3-D visualized inversion, as well as BP artificial network method have been widely used in the integrated data processing. The performances of the new methods were illustrated with real data from the newly developed area of Western China and Southern marine carbonate area.
引文
1 Bhattacharyya B K, Chen K C. Reduction of magnetic and gravity data on an arbitrary surface acquired in a region of high topographic relief [J]. Geophysics, 1977,42(7):1 411-1 430
2 Emila D A. Equivalent source used as an analytic base for processing total magnetic field profiles[J]. Geophysics, 1973,38(2):339-348
3 Hansen R O, Miyazaki Y. Continuation of potential field between arbitrary surface[J]. Geophysics, 1984, 49(6):787-795
4 Nakatsuka T. Reduction of magnetic anomalies to and from an arbitrary surface [J]. Geophysical Exploration, 1981,34(5):6-13
5 杨文采,施志群,侯遵泽．离散小波变换与重力异常多 重分解[J]．地球物理学报,2001,44(4):534-541
6 侯遵泽,杨文采．中国重力异常的小波变换与多尺度分 析[J]．地球物理学报,1997,40(1):85-95
7 秦前清,杨宗凯.实用小波分析[M]．西安:西安电子科 技大学出版社,1994．173
8 胡昌华,张军波,夏军,等．基于MATLAB的系统分析 与设计-小波分析[M]．西安:西安电子科技大学出版 社,1999．326
9 高德章,侯遵泽,唐健．东海及邻区重力异常多尺度分 解[J]．地球物理学报,2000,43(6):842-849
10 Vozoff K,Jupp D L B. Effective search for a buried layer: An approach to experimental designing geophysics[J]. Exploration Geophysics, 1977,8(1) :6-15
11 Savino J M,Rodi W L, Masso J F. Simultaneous inversion of multiple geophysical data sets for earth structure[J]. Expanded Abstracts of 50th Annual International SEG Meeting, 1980,438-439
12 王一新,廉西京．重力与地震联合解释在石油勘探中的 应用[J]．石油物探,1983,22(3):34-41
13 Rasmussen H J,Hohman G W. Cooperative inversion of transient electromagnetic and gravity data for depth determinations in a basin[J]. Expanded Abstracts of 61st Annual International SEG Meeting, 1991,614-617
14 王西文,孟昭泰,张工会,等．重力、地震联合反演在研 究含油气盆地构造中的应用[J]．石油地球物理勘探, 1991,26(2):201-209
15 汪宏年,张文生．层状介质中重力、地震联合反演的迭 代算法[J]．石油地球物理勘探,1993,28(2):153-165
16 杨辉．重力、地震联合反演基岩密度及综合解释[J]．石 油地球物理勘探,1998,33(4):496-510
17 Anderson B S,Anderson M E,Bain J E. A report on the renaissance of gravity in the deep water Gulf of Mexico: A practical view of integration methods [J]. xpanded Abstracts of 68th Annual International SEG Meeting, 1998,515-517
18 包·约翰．神经网络的模式识别方法[M]．北京,科学 出版社,1992．109-134
19 刘天佑,师学明,侯连喜,等．综合运用模式识别方法评 价塔北雅克拉地区圈闭的含油气性[J]．石油地球物理 勘探,1997,32(4):556-564
20 刘天佑,师学明,潘玉玲．人工神经网络方法与鲁西金 伯利岩物化探异常筛选[J]．现代地质,1998,12(4): 598-602
21 Raiche A. A pattern recognition approach to geophysical inversion using neural nets[J]. Geophysical Journal International ,1991,105:629-648
22 张贤达．时间序列分析-高阶统计量方法[M]．北京: 清华大学出版社,1996．501
23 Sasaki K,Sato T,Yamashita Y. Minimum bias windows for bispectral estimation [J]. Journal of Sound and Vibration,1975,40:139-149
24 Gerr N L. Introducing a third-order wigner distribution [J]. Proceedings of the IEEE, 1988,76(3):290-292
25 Fonollosa J R, Nikias C L. Wigner high order mement spectra: Definition, properties, computation and application to transient signal processing[J]. IEEE Transactions on Signal Processing, 1993,41(1):245-266
26 杨宇山,李媛嫒,刘天佑．高阶统计量在地震弱信号及 “磁亮点”识别中的应用[J]．石油地球物理勘探,2005, 40(1):103-107
27 杨宇山,刘天佑,王法刚,等．高阶统计量弱信号识别方 法在识别地质孔洞中的应用[J]．长江科学院院报, 2005,22(5):30-33
2 Emila D A. Equivalent source used as an analytic base for processing total magnetic field profiles[J]. Geophysics, 1973,38(2):339-348
3 Hansen R O, Miyazaki Y. Continuation of potential field between arbitrary surface[J]. Geophysics, 1984, 49(6):787-795
4 Nakatsuka T. Reduction of magnetic anomalies to and from an arbitrary surface [J]. Geophysical Exploration, 1981,34(5):6-13
5 杨文采,施志群,侯遵泽．离散小波变换与重力异常多 重分解[J]．地球物理学报,2001,44(4):534-541
6 侯遵泽,杨文采．中国重力异常的小波变换与多尺度分 析[J]．地球物理学报,1997,40(1):85-95
7 秦前清,杨宗凯.实用小波分析[M]．西安:西安电子科 技大学出版社,1994．173
8 胡昌华,张军波,夏军,等．基于MATLAB的系统分析 与设计-小波分析[M]．西安:西安电子科技大学出版 社,1999．326
9 高德章,侯遵泽,唐健．东海及邻区重力异常多尺度分 解[J]．地球物理学报,2000,43(6):842-849
10 Vozoff K,Jupp D L B. Effective search for a buried layer: An approach to experimental designing geophysics[J]. Exploration Geophysics, 1977,8(1) :6-15
11 Savino J M,Rodi W L, Masso J F. Simultaneous inversion of multiple geophysical data sets for earth structure[J]. Expanded Abstracts of 50th Annual International SEG Meeting, 1980,438-439
12 王一新,廉西京．重力与地震联合解释在石油勘探中的 应用[J]．石油物探,1983,22(3):34-41
13 Rasmussen H J,Hohman G W. Cooperative inversion of transient electromagnetic and gravity data for depth determinations in a basin[J]. Expanded Abstracts of 61st Annual International SEG Meeting, 1991,614-617
14 王西文,孟昭泰,张工会,等．重力、地震联合反演在研 究含油气盆地构造中的应用[J]．石油地球物理勘探, 1991,26(2):201-209
15 汪宏年,张文生．层状介质中重力、地震联合反演的迭 代算法[J]．石油地球物理勘探,1993,28(2):153-165
16 杨辉．重力、地震联合反演基岩密度及综合解释[J]．石 油地球物理勘探,1998,33(4):496-510
17 Anderson B S,Anderson M E,Bain J E. A report on the renaissance of gravity in the deep water Gulf of Mexico: A practical view of integration methods [J]. xpanded Abstracts of 68th Annual International SEG Meeting, 1998,515-517
18 包·约翰．神经网络的模式识别方法[M]．北京,科学 出版社,1992．109-134
19 刘天佑,师学明,侯连喜,等．综合运用模式识别方法评 价塔北雅克拉地区圈闭的含油气性[J]．石油地球物理 勘探,1997,32(4):556-564
20 刘天佑,师学明,潘玉玲．人工神经网络方法与鲁西金 伯利岩物化探异常筛选[J]．现代地质,1998,12(4): 598-602
21 Raiche A. A pattern recognition approach to geophysical inversion using neural nets[J]. Geophysical Journal International ,1991,105:629-648
22 张贤达．时间序列分析-高阶统计量方法[M]．北京: 清华大学出版社,1996．501
23 Sasaki K,Sato T,Yamashita Y. Minimum bias windows for bispectral estimation [J]. Journal of Sound and Vibration,1975,40:139-149
24 Gerr N L. Introducing a third-order wigner distribution [J]. Proceedings of the IEEE, 1988,76(3):290-292
25 Fonollosa J R, Nikias C L. Wigner high order mement spectra: Definition, properties, computation and application to transient signal processing[J]. IEEE Transactions on Signal Processing, 1993,41(1):245-266
26 杨宇山,李媛嫒,刘天佑．高阶统计量在地震弱信号及 “磁亮点”识别中的应用[J]．石油地球物理勘探,2005, 40(1):103-107
27 杨宇山,刘天佑,王法刚,等．高阶统计量弱信号识别方 法在识别地质孔洞中的应用[J]．长江科学院院报, 2005,22(5):30-33
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