Multi-parameter Analysis of Identifying Micro Amplitude Structures by Moving Trend Surface Method

doi:10.11885/j.issn.1674-5086.2017.01.10.03

Abstract

Abstract: The Qiketai Formation is located in the Pubei Region of the Turpan-Hami Basin. Within the formation, microamplitude structures (MAS) form a favorable tectonic zone for hydrocarbon accumulation. Presently, the resolution of seismic data limits seismic interpretation technologies, making them unable to satisfy the requirements for fine-grained identification of MAS. As an alternative, the moving trend surface method, was used in this study to repeatedly test and analyze MAS. The preferred selection methods for three critical parameters-number of fits, sampling interval, and radius of influence-were also comprehensively studied. After quadratic fitting was selected, the optimal combination of parameters for MAS identification using the moving trend surface method were found to be:(i) the sampling interval for the maximum degree of fit, and (ii) a radius of influence that was two times the sampling interval. These findings were useful for optimizing parameters for MAS identification in the Pubei Region. MAS were found to be mainly distributed along the axis of the nose-shaped tectonic setting and the northeastern slope. Their distributional characteristics were in agreement with the results found during drilling of the hydrocarbon areas.

Key words: Turpan-Hami Basin, Pubei Region, Qiketai Formation, micro-relief structures, moving trend surface, parameter analysis

CLC Number:

TE122

WU Yong, MA Teng, WANG Yu, ZHOU Lu, ZHOU Yadong. Multi-parameter Analysis of Identifying Micro Amplitude Structures by Moving Trend Surface Method[J]. 西南石油大学学报(自然科学版), 2017, 39(3): 34-46.

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References

[1] 张艳伟,屠世浩,王沉,等. 基于趋势面分析的煤层厚度变化规律研究[J]. 西安科技大学学报, 2015, 35(1): 21-27. doi: 10.13800/j.cnki.xakjdxxb.2015.0104 ZHANG Yanwei, TU Shihao, WANG Chen, et al. Research on coal seam thickness changing law based on trend surface analysis[J]. Journal of Xi'an University of Science and Technology, 2015, 35(1): 21-27. doi: 10.13800/j.-cnki.xakjdxxb.2015.0104
[2] LANCASTER P, SALKAUSKAS K. Surfaces generated by moving least squares methods[J]. Mathematics of Computation, 1981, 37(155): 141-158. doi: 10.13800/j.cnki.-xakjdxxb.2015.0104
[3] 葛永慧,康志军. 加权移动趋势面拟合[J]. 工程图学学报, 2008(2): 110-114. doi: 10.3969/j.issn.1003-0158.-2008.02.019 GE Yonghui, KANG Zhijun. Weighted technology of moving trend surface fitting[J]. Journal of Engineering Graphics, 2008(2): 110-114. doi: 10.3969/j.issn.1003-0158.2008.02.019
[4] 段滔, 刘耀林. 基于移动趋势面分析法的城市基准地价评价研究[J]. 武汉大学学报, 2004, 29(6): 529-532. doi: 10.3321/j.issn:1671-8860.2004.06.015 DUAN Tao, LIU Yaolin. Urban base land value evaluation based on mobile trend sufacec analysis[J]. Geomatics and Information Science of Wuhan University, 2004, 29(6): 529-532. doi: 10.3321/j.issn:1671-8860.2004.06.-015
[5] 曾清红,卢德唐. 基于移动最小二乘法的曲线曲面拟合[J]. 工程图学学报, 2004(1): 84-88. doi: 10.3969/j.-issn.1003-0158.2004.01.017 ZENG Qinghong, LU Detang. Curve and surface fitting based on moving least squares[J]. Journal of Engineering Graphics, 2004(1): 84-88. doi: 10.3969/j.issn.1003-0158.-2004.01.017
[6] MULLINEUX G. Non-linear least squares fitting of coefficients[J]. Applied Mathematical Modelling, 2008, 32(12): 2538-2551. doi: 10.1016/j.apm.2007.09.010
[7] 王秋玲. 趋势面拟合法在土地勘测中的应用[J]. 城市勘测, 2014(5): 146-148. doi: 10.3969/j.issn.1672-8262.-2014.05.047 WANG Qiuling. Application of trend face simulation method to and survey[J]. Urban Geotechnical Investigation & Surveying, 2014(5): 146-148. doi: 10.3969/j.issn.1672-8262.2014.05.047
[8] 李广春,戴吾蛟,曾凡河,等. 三维动态趋势面模型在地面沉降分析中的应用[J]. 大地测量与地球动力学, 2016, 36(6): 508-511. doi: 10.14075/j.jgg.2016.06.009 LI Guangchun, DAI Wujiao, ZENG Fanhe, et al. Application of Three-dimensional dynamic trend surface fitting model on land subsidence[J]. Journal of Geodesy and Geodynamics, 2016, 36(6): 508-511. doi: 10.14075/j.jgg.-2016.06.009
[9] 李随民,姚书振,韩玉丑. Surfer软件中利用趋势面方法圈定化探异常[J]. 地质与勘探, 2007, 43(2): 72-75.doi: 10.3969/j.issn.0495-5331.2007.02.014 LI Suimin, YAO Shuzhen, HAN Yuchou. Using tendency analysis method to deal with geochemical data based on the surfer software[J]. Geology and Prospecting, 2007, 43(2): 72-75. doi: 10.3969/j.issn.0495-5331.2007.02.014
[10] 管仁荣. 趋势面分析在地球物理勘探中的应用研究[J]. 中国矿业, 2012, 21(S1): 474-478. GUAN Renrong. The study of trend surface analysis[J]. China Mining Magazine, 2012, 21(S1): 474-478.
[11] 王建民,王佳媛. 鄂尔多斯盆地伊陕斜坡上的低幅度构造与油气富集[J]. 石油勘探与开发, 2013, 40(1): 49-57. WANG Jianmin, WANG Jiayuan. Low-amplitude structures and oil-gas enrichment on Yishaan slope, Ordos Basin[J]. Perroleum Exploration and Development, 2013, 40(1): 49-57.
[12] 白晓寅,黄玉,陈永波,等. 低幅度构造岩性油气藏识别技术[J]. 石油地球物理勘探, 2012, 47(2): 291-297. doi: 10.13810/j.cnki.issn.1000-7210.2012.02.004 BAI Xiaoyan, HUANG Yu, CHEN Yongbo, et al. Recognition of low relief structure-lithologic reservoir[J]. OGP, 2012, 47(2): 291-297. doi: 10.13810/j.cnki.issn.1000-7210.2012.02.004
[13] 姜秀清,夏斌,王千军,等. 微构造的地震识别与应用效果[J]. 天然气工业, 2006, 26(2): 57-59. doi: 10.-3321/j.issn:1000-0976.2006.02.017 JIANG Xiuqing, XIA Bin, WANG Qianjun. Seismic identification technology of microstructure and application effect[J]. Natural Gas Industry, 2006, 26(2): 57-59. doi: 10.-3321/j.issn:1000-0976.2006.02.017
[14] 邓兴梁,张庆玉,梁彬,等. 塔中Ⅱ区奥陶系鹰山组岩溶古地貌恢复方法研究[J]. 中国岩溶, 2015, 34(2): 60-64. doi: 10.11932/karst20150208 DENG Xingliang, ZHANG Qingyu, LIANG Bin, et al. Reconstruction of karst palaeogeomorphology for the Ordovician Yingshan Formation in the central Tarim Basin[J]. Carsologica Sinica, 2015, 34(2): 60-64. doi: 10.-11932/karst20150208
[15] 李啸,刘海磊,王学勇,等. 坡折带砂体成因及分布规律以准噶尔盆地车排子地区下白垩统清水河组为例[J]. 岩性油气藏, 2017, 29(1): 35-42. doi: 10.-3969/j.issn.1673-8926.2017.01.005 LI Xiao, LIU Hailei, WANG Xueyong, et al. Origin and distribution of sand body in slope break zone: A case study of the Lower Cretaceous Qingshuihe Formation in Chepaizi Area, Junggar Basin[J]. Lithologic Reservoirs, 2017, 29(1): 35-42. doi: 10.3969/j.issn.1673-8926.2017.01.005
[16] 李伟波,李培明,睢永平. 地震资料空间分辨率计算及理论分析[J]. 石油物探, 2016, 55(2): 173-177. doi: 10.3969/j.issn.1000-1441.2016.02.002 LI Weibo, LI Peiming, SUI Yongping. Calculation and theoretical analysis of the spatial resolution of seismic data[J]. Geophysical Prospecting for Petroleum, 2016, 55(2): 173-177. doi: 10.3969/j.issn.1000-1441.2016.02.002
[17] 王元君,周怀来. 时频域动态反褶积方法研究[J]. 西南石油大学学报(自然科学版), 2015, 37(1): 1-10. doi: 10.11885/j.issn.1674-5086.2014.12.29.01 WANG Yuanjun, ZHOU Huailai. Research of dynamic deconvolution method in time-frequency domain[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2015, 37(1): 1-10. doi: 10.11885/j.issn.-1674-5086.2014.12.29.01
[18] 刘玉虎,赵丹丹,刘兴旺,等. 吐哈侏罗系原型盆地演化对烃源岩分布的控制[J]. 西南石油大学学报(自然科学版),2012,34(4):29-39. doi:10.3863/j.issn.1674-5086.2012.04.004 LIU Yuhu, ZHAO Dandan, LIU Xingwang, et al. The evolution of Turpan-Hami Jurassic prototype Basin and its control on the distribution of source rocks[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2012, 34(4): 29-39. doi: 10.3863/j.issn.1674-5086.2012.04.004
[19] 杨占龙,吴青鹏,黄云峰,等. 吐哈盆地北部逆冲构造带油气成藏模式与勘探方向[J]. 天然气地球科学, 2016, 27(6): 974-981. doi: 10.11764/j.issn.1672-1926.-2016.06.0974 YANG Zhanlong, WU Qingpeng, HUANG Yunfeng, et al. Hydrocarbon accumulation and exploration domain of northern thrust belts in Turpan-Kumul Basin[J]. Natural Gas Geoscience, 2016, 27(6): 974-981. doi: 10.11764/j.-issn.1672-1926.2016.06.0974
[20] 周志军,薛江龙,赵立斌. 数值模拟拟合精度方法研究以龙虎泡油田为例[J]. 岩性油气藏, 2016, 28(1): 101-105. doi: 10.3969/j.issn.1673-8926.-2016.01.013 ZHOU Zhijun, XUE Jianglong, ZHAO Libin. Numerical simulation fitting technology: A case study from Longhupao Oilfield[J]. Lithologic Reservoirs, 2016, 28(1): 101-105. doi: 10.3969/j.issn.1673-8926.2016.01.013
[21] 于运治,田茂军,姜璐. 空间插值算法在构建海洋地磁图中的应用[J]. 舰船科学技术, 2013, 35(7): 37-41. doi: 10.3404/j.issn.1672-7649.2013.07.007 YU Yunzhi, TIAN Maojun, JIANG Lu. The application of spatial interpolation algorithm in marine geomagnetic mapping[J]. Ship Science and Technology, 2013, 35(7): 37-41. doi: 10.3404/j.issn.1672-7649.2013.07.007