石油勘探与开发 >

2017 , Vol. 44 >Issue 6: 939 - 947

DOI: https://doi.org/10.11698/PED.2017.06.11

油气田开发

基于水平井资料进行地质建模的大数据误区分析与应对策略

  • 黄文松 ,
  • 王家华 ,
  • 陈和平 ,
  • 徐芳 ,
  • 孟征 ,
  • 李永豪
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  • 1. 中国石油勘探开发研究院,北京 100083;
    2. 西安石油大学,西安 710065
黄文松（1973-）,男,河北高阳人,博士,中国石油勘探开发研究院高级工程师,主要从事油气田开发和地质建模工作。地址：北京市海淀区学院路20号,中国石油勘探开发研究院美洲研究所,邮政编码：100083。E-mail: hwshws6@petrochina.com.cn

收稿日期: 2017-05-25

  修回日期: 2017-10-19

  网络出版日期: 2017-11-24

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Big data paradox and modeling strategies in geological modeling based on horizontal wells data

  • HUANG Wensong ,
  • WANG Jiahua ,
  • CHEN Heping ,
  • XU Fang ,
  • MENG Zheng ,
  • LI Yonghao
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  • 1. PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China;
    2. Xi’an Shiyou University, Xi’an 710065, China

Received date: 2017-05-25

  Revised date: 2017-10-19

  Online published: 2017-11-24

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摘要

以委内瑞拉奥里诺科重油带MPE3油田为例,在分析水平井信息特征的基础上,对比了直井和水平井数据分布和变差函数的差异,针对将水平井信息直接应用于地质建模中产生的大数据误区,提出了相应的建模策略。研究表明由于研究区水平井具有数据信息量大、井轨迹方向性强、砂岩钻遇率高的特点,造成了不符合地质认识的变差函数分析结果,进而在沉积微相和储集层物性建模以及概率储量预测上产生误区。建模时首先采用直井信息对分流河道砂体分布进行变差函数分析,通过沉积相控、地震约束的方法建立岩相框架;再利用水平井信息反映储集层内部非均质性精度高的特点,结合直井信息进行泥质隔夹层的变差函数分析,建立相应的储集层岩相精细模型;最后建立储集层物性模型,并分井区计算地质储量。该建模策略能够真实反映地质特征,且有效提高了井间砂体预测的精度,增强了储集层地质模型的可靠性。图14表4参25

关键词： 水平井; 地质建模; 大数据误区; 大数据分析; 变差函数

本文引用格式

黄文松 , 王家华 , 陈和平 , 徐芳 , 孟征 , 李永豪 . 基于水平井资料进行地质建模的大数据误区分析与应对策略[J]. 石油勘探与开发, 2017 , 44(6) : 939 -947 . DOI: 10.11698/PED.2017.06.11

Abstract

Based on analysis of horizontal well data characteristics, the differences of data distribution and variogram between vertical and horizontal wells in MPE3 oil field of Orinoco heavy oil belt were compared, and modeling strategies were proposed to cope with the big data paradox when data of horizontal wells was used directly into geologic modeling. The study shows the horizontal wells in the study area contain a large quantity of information, strong directionality of well trajectories and high drilling ratio of sandstone, causing variogram analysis result unconformable to the geologic understanding, and in turn making errors in the modeling of sedimentary microfacies and reservoir physical properties and prediction of probabilistic reserves. Firstly, the distributary channel distribution variogram was analyzed with data of vertical wells, and then the lithofacies framework was established under the control of the sedimentary facies and seismic data. After that, the horizontal wells data revealing high heterogeneity accuracy of reservoir, was combined with the vertical wells data to analyze argillaceous interlayer variograms and the corresponding reservoir lithofacies models were constructed. Finally, reservoir physical property models were generated and the geological reserves were calculated by wellblocks. This reservoir modeling method does not only reflect the geologic features underground, but also improve the accuracy of inter-well sand body prediction, and enhance the reliability of reservoir geologic model ultimately.

Key words： horizontal well; geological modeling; big data paradox; big data analysis; variogram

参考文献

[1] 汪志明, 杨健康, 张权, 等. 基于大尺寸实验的水平井筒压降预测模型评价[J]. 石油勘探与开发, 2015, 42(2): 238-241.
WANG Zhiming, YANG Jiankang, ZHANG Quan, et al. Evaluation of horizontal wellbore single-phase pressure drop models based on large-scale experiment[J]. Petroleum Exploration and Development, 2015, 42(2): 238-241.
[2] 赵继勇, 樊建明, 何永宏, 等. 超低渗—致密油藏水平井开发注采参数优化实践: 以鄂尔多斯盆地长庆油田为例[J]. 石油勘探与开发, 2015, 42(1): 68-75.
ZHAO Jiyong, FAN Jianming, HE Yonghong, et al. Optimization of horizontal well injection-production parameters for ultra-low permeable-tight oil production: A case from Changqing Oilfield, Ordos Basin[J]. Petroleum Exploration and Development, 2015, 42(1): 68-75.
[3] 韩德金, 王永卓, 战剑飞, 等. 大庆油田致密油藏井网优化技术及应用效果[J]. 大庆石油地质与开发, 2014, 33(5): 30-35.
HAN Dejin, WANG Yongzhuo, ZHAN Jianfei, et al. Optimizing techniques and their application effects for the well patterns of Daqing tight oil reservoirs[J]. Petroleum Geology & Oilfield Development in Daqing, 2014, 33(5): 30-35.
[4] 刘合, 兰中孝, 王素玲, 等. 水平井定面射孔条件下水力裂缝起裂机理[J]. 石油勘探与开发, 2015, 42(6): 794-800.
LIU He, LAN Zhongxiao, WANG Suling, et al. Hydraulic fracture initiation mechanism in the definite plane perforating technology of horizontal well[J]. Petroleum Exploration and Development, 2015, 42(6): 794-800.
[5] MA X, AL-HARBI M, DATTA-GUPTA A, et al. An efficient two-stage sampling method for uncertainty quantification in history matching geological models[R]. SPE 102476, 2008.
[6] JUNKER H, PLAS L, DOSE T, et al. Modern approach to estimation of uncertainty of predictions with dynamic reservoir simulation: A case study of a German Rotliegend Gas Field[R]. SPE 103340, 2006.
[7] RODRÍGUEZ R, SOLANO K, GUEVARA S, et al. Integration of subsurface, surface and economics under uncertainty in Orocual Field[R]. SPE 107259, 2007.
[8] DOLIGEZ B, CHEN L. Quantification of uncertainties on volumes in place using geostatistical approaches[R]. SPE 64767, 2000.
[9] CAPEN E. Probabilistic reserves! here at last?[R]. SPE 73828, 2001.
[10] 郝建明, 吴健, 张宏伟. 应用水平井资料开展精细油藏建模及剩余油分布研究[J]. 石油勘探与开发, 2009, 36(6): 730-736.
HAO Jianming, WU Jian, ZHANG Hongwei. Study on fine reservoir modeling and distribution of remaining oil with data of horizontal wells[J]. Petroleum Exploration and Development, 2009, 36(6): 730-736.
[11] 王伟. 水平井资料在精细油藏建模中的应用[J]. 岩性油气藏, 2012, 24(3): 79-82.
WANG Wei. Application of horizontal well data to detailed reservoir modeling[J]. Lithologic Reservoirs, 2012, 24(3): 79-82.
[12] SCHUYLER J. Probabilistic reserves lead to more accurate assessments[R]. SPE 49032, 1998.
[13] GAIR R. Integrating deterministic and probabilistic reserves[R]. SPE 82000, 2003.
[14] MUDA P, WU L, NAVPREET S, et al. Integrating horizontal wells in 3D geological model using sequence stratigraphic framework in braided channel complex of the Changbei Gas Field, Ordos Basin, China[R]. Beijing: International Petroleum Technology Conference, 2013.
[15] SUTA I, OSISANYA S. Geological modelling provides best horizontal well positioning in geologically complex reservoirs[R]. Alberta, Canada: Petroleum Society’s 5th Canadian International Petroleum Conference, 2004.
[16] 陈浩, 陈和平, 黄文松, 等. 委内瑞拉奥里诺科重油带Carabobo油区M区块Morichal段地层沉积演化特征[J]. 西安石油大学学报(自然科学版), 2016, 31(1): 45-52.
CHEN Hao, CHEN Heping, HUANG Wensong, et al. Sedimentary evolution characteristics of morichal member in M Block of Carabobo area of Orinoco heavy-oil belt, Venezuela[J]. Journal of Xi’an Shiyou University (Natural Science Edition), 2016, 31(1): 45-52.
[17] ETTAJER T, FONTANELLI L, DIAZ A. Integration of horizontal wells in the modeling of carbonates reservoir: Upscaling and economical assessment challenges[R]. Houston, Texas: Offshore Technology Conference, 2014.
[18] PINDELL J L, KENNAN L, WRIGHT D, et al. Clastic domains of sandstones in central/eastern Venezuela, Trinidad, and Barbados: Heavy mineral and tectonic constraints on provenance and paleogeography[J]. Geological Society London Special Publications, 2009, 328(1): 743-797.
[19] LABOURDETTE R, CASAS J, IMBERT P. 3D sedimentary modelling of a Miocene deltaic reservoir unit, Sincor Field, Venezuela: A new approach[J]. Journal of Petroleum Geology, 2008, 31(2): 135-151.
[20] MARTINIUS A W, HEGNER J, KAAS I, et al. Sedimentology and depositional model for the Early Miocene Oficina Formation in the Petrocedeño Field (Orinoco heavy-oil belt, Venezuela)[J]. Marine and Petroleum Geology, 2012, 35(1): 352-380.
[21] 刘亚明. Orinoco重油带重油成藏特征[J]. 石油与天然气地质, 2013, 34(3): 315-322.
LIU Yaming. Heavy oil accumulation characteristics of the Orinoco heavy oil belt[J]. Oil & Gas Geology, 2013, 34(3): 315-322.
[22] 魏漪, 冉启全, 李冉, 等. 基于分区补给物质平衡法预测致密油压裂水平井动态储量[J]. 石油勘探与开发, 2016, 43(3): 448-455.
WEI Yi, RAN Qiquan, LI Ran, et al. Determination of dynamic reserves of fractured horizontal wells in tight oil reservoirs by multi-region material balance method[J]. Petroleum Exploration and Development, 2016, 43(3): 448-455.
[23] 张克鑫, 黄文松, 郭松伟, 等. 奥里诺科重油带M区块层序界面识别和高分辨率层序地层格架建立[J]. 石油天然气学报, 2012, 34(7): 11-16.
ZHANG Kexin, HUANG Wensong, GUO Songwei, et al. Sequence Orinoco boundary heavy oil characteristics and high resolution sequence stratigraphic framework of M Block in Orinoco heavy-oil belt[J]. Journal of Oil and Gas Technology, 2012, 34(7): 11-16.
[24] 陈浩, 陈和平, 黄文松, 等. 委内瑞拉奥里诺科重油带沉积特征[J]. 地质科技情报, 2016(4): 103-110.
CHEN Hao, CHEN Heping, HUANG Wensong, et al. Sedimentary characteristics of the Orinoco heavy-oil belt, Venezuela[J]. Geological Science and Technology Information, 2016(4): 103-110.
[25] MA Y Z, POINTE P. Uncertainty analysis and reservoir modeling[M]. Tulsa: AAPG, 2011.
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