定向井随钻井壁稳定预测方法及其应用

doi:10.7623/syxb201510012

石油学报 ›› 2015, Vol. 36 ›› Issue (10): 1290-1298.DOI: 10.7623/syxb201510012

定向井随钻井壁稳定预测方法及其应用

吴超¹, 臧艳彬¹, 张东清¹, 吴军², 陈林², 刘超²

1. 中国石油化工股份有限公司石油工程技术研究院北京 100101;
2. 中石化重庆涪陵页岩气勘探开发有限公司重庆 408014

收稿日期:2015-05-06 修回日期:2015-08-22 出版日期:2015-10-25 发布日期:2015-11-09
通讯作者: 吴超,男,1976年7月生,2002年获石油大学(华东)学士学位,2008年获中国石油大学(北京)博士学位,现为中国石油化工股份有限公司石油工程技术研究院高级工程师,主要从事井壁稳定力学分析、钻井工程优化设计等方面的研究工作。Email:wuchao9138@163.com
作者简介:吴超,男,1976年7月生,2002年获石油大学(华东)学士学位,2008年获中国石油大学(北京)博士学位,现为中国石油化工股份有限公司石油工程技术研究院高级工程师,主要从事井壁稳定力学分析、钻井工程优化设计等方面的研究工作。Email:wuchao9138@163.com
基金资助:
中国石油化工股份有限公司科技攻关项目(P13138)资助。

A method of borehole stability prediction while drilling directional wells and its application

Wu Chao¹, Zang Yanbin¹, Zhang Dongqing¹, Wu Jun², Chen Lin², Liu Chao²

1. Sinopec Research Institute of Petroleum Engineering, Beijing 100101, China;
2. Sinopec Chongqing Fuling Shale Gas Exploration and Development Corporation, Chongqing 408014, China

Received:2015-05-06 Revised:2015-08-22 Online:2015-10-25 Published:2015-11-09

摘要/Abstract

摘要：

常规井壁稳定预测方法不适用于定向井。根据岩石力学和地震反演原理提出随钻预测定向井稳定性的新方法,包括钻前预测与随钻修正2个操作步骤。通过分析地震数据与岩石力学参数之间的定量关系,建立了包含孔隙压力、地应力、岩石强度等井壁稳定参数和地震记录的非线性模型,基于其利用地震资料直接反演井壁稳定参数,实现钻前预测井壁稳定性,为钻井设计提供依据。实钻中结合定向井的实际施工情况,通过实时反演对钻前预测的井壁稳定数据模型进行随钻修正更新,及时优化调整钻井方案以避免工程复杂故障。该方法在涪陵页岩气田进行了应用,结合"井工厂"钻井作业模式,形成了井壁稳定预测现场操作方案。现场应用情况表明该方法预测精度较高,具有良好的实时操作性能,有利于定向井的安全快速钻井。

关键词: 定向井, 井壁稳定, 随钻预测, 地震反演, 涪陵页岩气田, "井工厂"

Abstract:

The conventional prediction methods of borehole stability are not suitable for directional wells. Based on the rock mechanics and seismic inversion principles, a new prediction method of directional well stability while drilling is presented in two operation steps, i.e., pre-drilling prediction and while-drilling correction. According to the quantitative relationship between seismic data and rock mechanic parameters, a nonlinear model was created with seismic records and borehole stability parameters including pore pressure, geo-stress, rock strength and etc. On this basis, borehole stability parameters are directly inversed using seismic data, so as to further predict borehole stability before drilling and provide a foundation for drilling design. According to the construction situation of directional wells, real time inversion is applied in actual drilling for while-drilling correction and upgrade of pre-drilling borehole stability data model, so as to timely optimize and adjust drilling schemes with the purpose of avoiding complex engineering fault. This method has been applied in Fuling shale gas field, and constitutes the field operation scheme of borehole stability prediction together with the drilling process of "well factory". The field application shows that this method has high prediction accuracy and good performance of real time operation, advantageous to safe and fast drilling of directional wells.

Key words: directional well, borehole stability, prediction while drilling, seismic inversion, Fuling shale gas field, "well factory"

中图分类号:

TE27

吴超, 臧艳彬, 张东清, 吴军, 陈林, 刘超. 定向井随钻井壁稳定预测方法及其应用[J]. 石油学报, 2015, 36(10): 1290-1298.

Wu Chao, Zang Yanbin, Zhang Dongqing, Wu Jun, Chen Lin, Liu Chao. A method of borehole stability prediction while drilling directional wells and its application[J]. Acta Petrolei Sinica, 2015, 36(10): 1290-1298.

参考文献

[1] Aadnoy B S,Angell-Olsen F.Some effects of ellipticity on the fracturing and collapse behavior of a borehole[J].International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts,1995,32(6):621-627.
[2] Bell J S.Practical methods for estimating in situ stresses for borehole stability applications in sedimentary basins[J].Journal of Petroleum Science and Engineering,2003,38(3/4):111-119.
[3] Stjern G,Agle A,Horsrud P.Local rock mechanical knowledge improves drilling performance in fractured formations at the Heidrun field[J].Journal of Petroleum Science and Engineering,2003,38(3/4):83-96.
[4] Aadnoy B S,Ong S.Introduction to special issue on borehole stability[J].Journal of Petroleum Science and Engineering, 2003,38(3/4):79-82.
[5] Zhang Jincai.Borehole stability analysis accounting for anisotropies in drilling to weak bedding planes[J].International Journal of Rock Mechanics and Mining Sciences,2013,60:160-170.
[6] 金衍,陈勉.利用地震记录钻前预测井壁稳定性研究[J].石油学报,2004,25(1):89-92.
Jin Yan,Chen Mian.Prediction of borehole stability by seismic records[J].Acta Petrolei Sinica,2004,25(1):89-92.
[7] 吴超,陈勉,金衍.井壁稳定实时预测新方法[J].石油勘探与开发,2008,35(1):80-84.
Wu Chao,Chen Mian,Jin Yan.Real-time prediction method of borehole stability[J].Petroleum Exploration and Development,2008,35(1):80-84.
[8] Wu Chao,Chen Mian,Jin Yan.A prediction method of bore hole stability based on seismic attribute technology[J].Journal of Petroleum Science and Engineering,2009,65(3/4):208-216.
[9] 金衍,陈勉,张旭东.钻前井壁稳定预测方法的研究[J].石油学报,2001,22(3):96-99.
Jin Yan,Chen Mian,Zhang Xudong.Study on prediction for borehole stability before drilling[J].Acta Petrolei Sinica,2001,22(3):96-99.
[10] 金衍,陈勉,杨小奇.利用层速度钻前预测安全泥浆密度窗口研究[J].岩石力学与工程学报,2004,23(14):2430-2433.
Jin Yan,Chen Mian,Yang Xiaoqi.Prediction of safe mud density window by interval velocity before drilling[J].Chinese Journal of Rock Mechanics and Engineering,2004,23(14):2430-2433.
[11] 吴超,陈勉,金衍.利用地震反演技术钻前预测井壁稳定性[J].石油钻采工艺,2006,28(2):18-20.
Wu Chao,Chen Mian,Jin Yan.Prediction borehole stability before drilling by seismic inversion[J].Oil Drilling & Production Technology,2006,28(2):18-20.
[12] 周东红,熊晓军.一种高精度地层压力预测方法[J].石油地球物理勘探,2014,49(2):344-348.
Zhou Donghong,Xiong Xiaojun.A method for high-precision prediction of formation pressure[J].Oil Geophysical Prospecting,2014,49(2):344-348.
[13] 罗胜元,何生,宋国奇,等.渤南洼陷钻前地层压力地震预测[J].石油地球物理勘探,2014,49(2):349-359.
Luo Shengyuan,He Sheng,Song Guoqi,et al.Formation pressure prediction in Bonan Sag[J].Oil Geophysical Prospecting,2014,49(2):349-359.
[14] 杨进,刘书杰,石磊,等.挤压构造地层压力预测模型研究[J].石油学报,2009,30(5):764-768.
Yang Jin,Liu Shujie,Shi Lei,et al.Research on prediction model for formation pressure in compression structure[J].Acta Petrolei Sinica,2009,30(5):764-768.
[15] 郭志峰,刘震,吕睿,等.南海北部深水区白云凹陷钻前地层压力地震预测方法[J].石油地球物理勘探,2012,47(1):126-132.
Guo Zhifeng,Liu Zhen,Lü Rui,et al.Predrill prediction of formation pressure using seismic data in deep-water area of Baiyun depression,northern South China Sea[J].Oil Geophysical Prospecting,2012,47(1):126-132.
[16] Azevedo L,Nunes R,Correia P,et al.Multidimensional scaling for the evaluation of a geostatistical seismic elastic inversion methodology[J].Geophysics,2014,79(1):M1-M10.
[17] Pérez D O,Velis D R,Sacchi M D.High-resolution prestack seismic inversion using a hybrid FISTA least-squares strategy[J].Geophysics,2013,78(5):R185-R195.
[18] Bosch M,Mukerji T,Gonzalez E F.Seismic inversion for reservoir properties combining statistical rock physics and geostatistics:a review[J].Geophysics,2010,75(5):75A165-75A176.
[19] 赵邦六,石玉梅,姚逢昌,等.多分量地震全波形弹性反演预测砂岩油藏剩余油分布[J].石油学报,2013,34(2):328-333.
Zhao Bangliu,Shi Yumei,Yao Fengchang,et al.Prediction of the remaining oil distribution using multi-component seismic full waveform elastic inversion[J].Acta Petrolei Sinica,2013,34(2):328-333.
[20] Han D H,Nur A,Morgan D.Effect of porosity and clay content on wave velocities in sandstone[J].Geophysics,1986,51(11):2093-2107.
[21] Eberhart-Phillips D,Han D H,Zoback M D.Empirical relationships among seismic velocity,effective pressure,porosity and clay content in sandstone[J].Geophysics,1989,54(1):82-89.
[22] 樊洪海.地层孔隙压力预测检测新方法研究[D].北京:石油大学,2001.
Fan Honghai.Study on calculation and prediction methods of formation pore pressure[D].Beijing:University of Petroleum,2001.
[23] 王德人.非线性方程组解法与最优化方法[M].北京:人民教育出版社,1979:236-261.
Wang Deren.Solution of nonlinear equations and optimization method[M].Beijing:People's Education Press,1979:236-261.
[24] 曾义金,樊洪海,张传进,等.一种检测地层压力新方法研究—岩石力学参数法[J].岩土力学,2005,26(12):1977-1980.
Zeng Yijin,Fan Honghai,Zhang Chuanjin,et al.A new method for detecting geo-pressare:rock mechanical parameter method[J].Rock and Soil Mechanics,2005,26(12):1977-1980.
[25] 赵海峰,陈勉.基于实钻资料的井壁稳定实时预测理论[J].石油学报,2011,32(2):324-328.
Zhao Haifeng,Chen Mian.Real-time prediction of borehole stability based on actual drilling data[J].Acta Petrolei Sinica,2011,32(2):324-328.
[26] 陈勉,金衍,张广清.石油工程岩石力学[M].北京:科学出版社,2008:99-161.
Chen Mian,Jin Yan,Zhang Guangqing.Rock mechanics in petroleum engineering[M].Beijing:Science Press,2008:99-161.
[27] 陈勉,赵海峰,金衍,等.非连续介质力学模型预测煤层井眼稳定性[J].石油学报,2013,34(1):145-150.
Chen Mian,Zhao Haifeng,Jin Yan,et al.A discontinuous medium mechanical model for the sidewall stability prediction of coal beds[J].Acta Petrolei Sinica,2013,34(1):145-150.
[28] 卢运虎,陈勉,袁建波,等.各向异性地层中斜井井壁失稳机理[J].石油学报,2013,34(3):563-568.
Lu Yunhu,Chen Mian,Yuan Jianbo,et al.Borehole instability mechanism of a deviated well in anisotropic formations[J].Acta Petrolei Sinica,2013,34(3):563-568.

定向井随钻井壁稳定预测方法及其应用

A method of borehole stability prediction while drilling directional wells and its application

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