多属性预测在涠西南凹陷烃源岩研究中的应用
|
摘要
寻找隐蔽油气藏是目前涠西南凹陷勘探的新领域,优质烃源岩描述是其中一个重要研究课题.涠西南凹陷流沙港组沉积时期为一断陷湖盆,流沙港组二段沉积阶段是湖盆发育的鼎盛时期,中深湖相泥岩或页岩发育,形成了一套良好的区域性烃源岩.油页岩是涠西南凹陷最重要的烃源岩.除油页岩外,流二段还沉积了厚套的中深湖相暗色泥岩,具备非常好的生烃能力.识别和弄清这些暗色泥岩在凹陷中的分布对定量评价涠西南凹陷的生烃潜力具有重要意义.本文尝试将地震多属性预测技术应用于优势烃源岩的研究.首先通过声波时差和电阻率曲线进行多元线性回归,拟合能够体现优势烃源岩特征的有机化学参数总有机碳TOC曲线,利用层位约束消除油页岩对属性优化的干扰作用,最后通过逐步回归的步聪法算法对多地震属性进行优化,找到最佳属性组合,实现TOC数据体的预测,揭示了流二段优质烃源岩的空间展布特征.
The subtle oil-gas reservoir is a new prospecting domain in the Weixinan depression.One of the key topics is dominate source rock description.The Weixinan depression is a faulted lake basin during the deposition of Liushagong Formation.At the Liushagang 2 period,the lake basin developed and deposited a suit of widespread oil shale.Besides oil shale as the most important source rock,there is mass of dark shale deposited in liushagang 2 Formation,which is also considered as dominated source rock.It s important to distinguish and make clear the distribution of dark shale within the whole basin for quantitative evaluation of the hydrocarbon-generating potential of the Weixinan depression.In this article,we try to use the multi-attribute technique to source rock research.First we create a new total organic carbon (TOC) curve from DT and resistivity log with multiple regression,then use the constraint of two horizons to eliminate the influence of oil shale on attributes optimizing.Finally,we find the optimized attribute combination with stepwise regression,and predict a new TOC volume successfully.Further analysis is carried out on the TOC volume,and reveals the distribution of dominate source rock for oil shale in liushagang 2 Formation in detail.
The subtle oil-gas reservoir is a new prospecting domain in the Weixinan depression.One of the key topics is dominate source rock description.The Weixinan depression is a faulted lake basin during the deposition of Liushagong Formation.At the Liushagang 2 period,the lake basin developed and deposited a suit of widespread oil shale.Besides oil shale as the most important source rock,there is mass of dark shale deposited in liushagang 2 Formation,which is also considered as dominated source rock.It s important to distinguish and make clear the distribution of dark shale within the whole basin for quantitative evaluation of the hydrocarbon-generating potential of the Weixinan depression.In this article,we try to use the multi-attribute technique to source rock research.First we create a new total organic carbon (TOC) curve from DT and resistivity log with multiple regression,then use the constraint of two horizons to eliminate the influence of oil shale on attributes optimizing.Finally,we find the optimized attribute combination with stepwise regression,and predict a new TOC volume successfully.Further analysis is carried out on the TOC volume,and reveals the distribution of dominate source rock for oil shale in liushagang 2 Formation in detail.
引文
[1] 陈洁,温宁,李学杰.南海油气资源潜力及勘探现状[J].地球物理学进展,2007,22(4) :1285-1294． Chen J,Wen N,Li X J. The status of the resource potential and petroleum exploration of The South China Sea[J]. Progress in Geophysics, 2007,22(4) : 1285-1294．
[2] 刘光鼎.中国海地球物理场与油气资源[J].地球物理学进展,2007,22(4) :1229-1237． Liu G D. Geophysical fields and hydrocarbon resources of China seas[J]. Progress in Geophysics, 2007,22 (4) : 1229-1237．
[3] 吴因业,江波,郭彬程.岩性油气藏勘探的沉积体系域表征技术[J].新疆石油地质,2004,25(4) :358-361． Wu Y Y, Jiang B, Guo B C. Characterization of depositional system tract for exploration of lithologic pools-an example of Qaidam basin[J]. Xinjiang Petroleum Geology, 2004, 25 (4) : 358-361．
[4] 刘震,谭卓,蔡东升,刘明全.北部湾盆地涠西南凹陷流沙港组岩性圈闭形成条件[J].现代地质,2008,22(2) :239-246． Liu Z, Tan Z, Cai D S, Liu M Q. Analysis on forming conditions of lithologic trap in Liushagang formation, Weixinan depression of BBW basin [J]. Geoscience, 2008,22 (2) :239-246．
[5] 李浩,刘双莲.测井信息的地质属性研究[J].地球物理学进展,2009,24(3) :994-999． Li H, Liu S L. Geological characteristics study on logging information[J]. Progress in Geophysics, 2009, 24 (3) :994-999．
[6] 何委徽,王家林,于鹏.地球物理联合反演研究的现状与趋势分析[J].地球物理学进展,2009,24(2) :530-540． He W H, Wang J L, Yu P. Overview of the status and prospect of geophysical joint inversion [J]. Progress in Geophysics, 2009, 24(2) :530-540．
[7] 李绪深,肖贤明,黄保家,李里.崖南凹陷烃源岩生烃及碳同位素动力学应用[J].天然气工业,2005,25(8) :9-11． Li X S, Xiao X M,Huang B J, Li L. Hydrocarbon-generating dynamics and carbon isotope dynamics of the source rock in Yanan Seg [J]. Natural Gas Industry, 2005,25 (8) : 9-11．
[8] 金强.有效烃源岩的重要性及其研究[J].油气地质与采收率,2001,8(1) :1-4． Jin Q. Importance and research about effective hydrocarbon source rocks[J]. Oil ＆ Gas Recovery Techinology,2001,8(1) :1-4．
[9] 申本科,王贺林,宋相辉,等.低电阻率油气层的测井系列研究[J].地球物理学进展,2009,24(4) :1437-1445． Shen B K, Wang H L, Song X H,etal. Study on logging suite of low resistivity hydrocarbon-beating reservoirs [J]. Progress in Geophysics, 2009, 24(4) : 1437-1445．
[10] 闫建平,蔡进功,赵铭海,郑德顺.运用测井信息研究烃源岩进展及其资源评价意义[J].地球物理学进展,2009,24(1) : 270-279． Yan J P, Cai J G, Zhao M H, Zheng D S. Advances in the study of source rock evaluation by geophysical logging and its significance in resource assessment [J]. Progress in Geophysics, 2009, 24(1) :270-279．
[11] 曹丹平,印兴耀,张繁昌,等.多尺度地震资料联合反演方法研究[J].地球物理学报,2009,52(4) :1059-1067． Cao D P,Yin X Y,Zhang F C,et al. A study on the method of joint inversion of multiscale seismic data [J]. Chinese Journal of Geophysics , 2009,52 (4) : 1059-1067．
[12] 李在光,杨占龙,刘俊田.多属性综合方法预测含油气性及其效果[J].天然气地球科学,2006,17(5) :727-730． Li Z G, Yang Z L, Liu J J. Hydrocarbon detection by integrating multiple attributes[J]. Natural Gas Geoscience, 2006,17(5) : 727-730．
[13] 宋建国,李辉,刘垒,等.合成地震记录制作中的质量控制方法 研究[J].地球物理学进展,2009,24(1) :176-182． Song J G, Li H, Liu L, et al. Quality control methods of synthetic seismograms [J]. Progress in Geophysics, 2009,24(1) :176-182．
[14] 刘百红,李建华,魏小东,等.随机反演在储层预测中的应用 [J].地球物理学进展,2009,24(2) :581-589． Liu B H,Li J H,Wei X D,etal. The application of Stochastic seismic inversion in reservoir predictio [J]. Progress in Geophysics, 2009,24 (2) :581-589．
[15] 潘克家,王文娟,谭永基,等.基于混合差分进化算法的地球物理线性反演[J].地球物理学报,2009,52(12) :3083-3090． Pan K J, Wang W J, Tan Y J, et al. Geophysical linear inversion based on hybrid differential evolution algorithm [J]. Chinese Journal of Geophysics, 2009, 52 (12) : 3083-3090．
[16] Brown R A. Understanding seismic attributes [J]. Geophysics, 2001,66 (1) : 47-48．
[17] 崔岩,王彦飞,杨长春.带先验知识的波阻抗反演正则化方法研究[J].地球物理学报,2009,52(8) :2135-2141． Cui Y, Wang Y F, Yang C C. Regularizing method with a priori knowledge for seismic impedance inversion. [J]. Chinese Journal of Geophysics, 2009, 52 (8) : 2135-2141．
[18] Daniel P. Hampson. Use of multiattribute transforms to predict log properties from seismic data[J]. Geophysics, 2001,66(1) :220-236．
[19] 谢林涛,付志红,谢品芳,等.基于神经网络的视电阻率快速算法[J].地球物理学进展,2009,24(4) :1527-1532． Xie L T, Fu Z H, Xie P F,etal. A fast algorithm of apparent resistivity based on neural networks [J]. Progress in Geophysics, 2009, 24(4) :1527-1532．
[20] 张宪国,林承焰,张涛,等.井、震多尺度信息融合预测老油田浅层岩性气藏[J].石油地球物理勘探,2009,44(5) :609-612． Zhang X G, Lin C Y, Zhang T, etal. Using well and seismic multi-scale information integration to predict shallow lithology gas reservoir in mature oilfield [J]. Oil Geophysical Prospecting, 2009,44(5) : 609-612．
[21] 段春节,赵虎,吴汉宁,尹成.基于井位的地震属性融合技术研究[J].地球物理学进展,2009,24(1) :288-292． Duan C J,Zhao H,Wu H N,Yin C. Research on technique of seismic attributes synthesis based on wells[J]. Progress in Geophysics, 2009, 24(1) :288-292．
[2] 刘光鼎.中国海地球物理场与油气资源[J].地球物理学进展,2007,22(4) :1229-1237． Liu G D. Geophysical fields and hydrocarbon resources of China seas[J]. Progress in Geophysics, 2007,22 (4) : 1229-1237．
[3] 吴因业,江波,郭彬程.岩性油气藏勘探的沉积体系域表征技术[J].新疆石油地质,2004,25(4) :358-361． Wu Y Y, Jiang B, Guo B C. Characterization of depositional system tract for exploration of lithologic pools-an example of Qaidam basin[J]. Xinjiang Petroleum Geology, 2004, 25 (4) : 358-361．
[4] 刘震,谭卓,蔡东升,刘明全.北部湾盆地涠西南凹陷流沙港组岩性圈闭形成条件[J].现代地质,2008,22(2) :239-246． Liu Z, Tan Z, Cai D S, Liu M Q. Analysis on forming conditions of lithologic trap in Liushagang formation, Weixinan depression of BBW basin [J]. Geoscience, 2008,22 (2) :239-246．
[5] 李浩,刘双莲.测井信息的地质属性研究[J].地球物理学进展,2009,24(3) :994-999． Li H, Liu S L. Geological characteristics study on logging information[J]. Progress in Geophysics, 2009, 24 (3) :994-999．
[6] 何委徽,王家林,于鹏.地球物理联合反演研究的现状与趋势分析[J].地球物理学进展,2009,24(2) :530-540． He W H, Wang J L, Yu P. Overview of the status and prospect of geophysical joint inversion [J]. Progress in Geophysics, 2009, 24(2) :530-540．
[7] 李绪深,肖贤明,黄保家,李里.崖南凹陷烃源岩生烃及碳同位素动力学应用[J].天然气工业,2005,25(8) :9-11． Li X S, Xiao X M,Huang B J, Li L. Hydrocarbon-generating dynamics and carbon isotope dynamics of the source rock in Yanan Seg [J]. Natural Gas Industry, 2005,25 (8) : 9-11．
[8] 金强.有效烃源岩的重要性及其研究[J].油气地质与采收率,2001,8(1) :1-4． Jin Q. Importance and research about effective hydrocarbon source rocks[J]. Oil ＆ Gas Recovery Techinology,2001,8(1) :1-4．
[9] 申本科,王贺林,宋相辉,等.低电阻率油气层的测井系列研究[J].地球物理学进展,2009,24(4) :1437-1445． Shen B K, Wang H L, Song X H,etal. Study on logging suite of low resistivity hydrocarbon-beating reservoirs [J]. Progress in Geophysics, 2009, 24(4) : 1437-1445．
[10] 闫建平,蔡进功,赵铭海,郑德顺.运用测井信息研究烃源岩进展及其资源评价意义[J].地球物理学进展,2009,24(1) : 270-279． Yan J P, Cai J G, Zhao M H, Zheng D S. Advances in the study of source rock evaluation by geophysical logging and its significance in resource assessment [J]. Progress in Geophysics, 2009, 24(1) :270-279．
[11] 曹丹平,印兴耀,张繁昌,等.多尺度地震资料联合反演方法研究[J].地球物理学报,2009,52(4) :1059-1067． Cao D P,Yin X Y,Zhang F C,et al. A study on the method of joint inversion of multiscale seismic data [J]. Chinese Journal of Geophysics , 2009,52 (4) : 1059-1067．
[12] 李在光,杨占龙,刘俊田.多属性综合方法预测含油气性及其效果[J].天然气地球科学,2006,17(5) :727-730． Li Z G, Yang Z L, Liu J J. Hydrocarbon detection by integrating multiple attributes[J]. Natural Gas Geoscience, 2006,17(5) : 727-730．
[13] 宋建国,李辉,刘垒,等.合成地震记录制作中的质量控制方法 研究[J].地球物理学进展,2009,24(1) :176-182． Song J G, Li H, Liu L, et al. Quality control methods of synthetic seismograms [J]. Progress in Geophysics, 2009,24(1) :176-182．
[14] 刘百红,李建华,魏小东,等.随机反演在储层预测中的应用 [J].地球物理学进展,2009,24(2) :581-589． Liu B H,Li J H,Wei X D,etal. The application of Stochastic seismic inversion in reservoir predictio [J]. Progress in Geophysics, 2009,24 (2) :581-589．
[15] 潘克家,王文娟,谭永基,等.基于混合差分进化算法的地球物理线性反演[J].地球物理学报,2009,52(12) :3083-3090． Pan K J, Wang W J, Tan Y J, et al. Geophysical linear inversion based on hybrid differential evolution algorithm [J]. Chinese Journal of Geophysics, 2009, 52 (12) : 3083-3090．
[16] Brown R A. Understanding seismic attributes [J]. Geophysics, 2001,66 (1) : 47-48．
[17] 崔岩,王彦飞,杨长春.带先验知识的波阻抗反演正则化方法研究[J].地球物理学报,2009,52(8) :2135-2141． Cui Y, Wang Y F, Yang C C. Regularizing method with a priori knowledge for seismic impedance inversion. [J]. Chinese Journal of Geophysics, 2009, 52 (8) : 2135-2141．
[18] Daniel P. Hampson. Use of multiattribute transforms to predict log properties from seismic data[J]. Geophysics, 2001,66(1) :220-236．
[19] 谢林涛,付志红,谢品芳,等.基于神经网络的视电阻率快速算法[J].地球物理学进展,2009,24(4) :1527-1532． Xie L T, Fu Z H, Xie P F,etal. A fast algorithm of apparent resistivity based on neural networks [J]. Progress in Geophysics, 2009, 24(4) :1527-1532．
[20] 张宪国,林承焰,张涛,等.井、震多尺度信息融合预测老油田浅层岩性气藏[J].石油地球物理勘探,2009,44(5) :609-612． Zhang X G, Lin C Y, Zhang T, etal. Using well and seismic multi-scale information integration to predict shallow lithology gas reservoir in mature oilfield [J]. Oil Geophysical Prospecting, 2009,44(5) : 609-612．
[21] 段春节,赵虎,吴汉宁,尹成.基于井位的地震属性融合技术研究[J].地球物理学进展,2009,24(1) :288-292． Duan C J,Zhao H,Wu H N,Yin C. Research on technique of seismic attributes synthesis based on wells[J]. Progress in Geophysics, 2009, 24(1) :288-292．
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