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利用阵列感应测井进行储层渗透率评价
引用本文:周峰,孟庆鑫,胡祥云,Evert Slob,潘和平,马火林.利用阵列感应测井进行储层渗透率评价[J].地球物理学报,2016,59(11):4360-4371.
作者姓名:周峰  孟庆鑫  胡祥云  Evert Slob  潘和平  马火林
作者单位:1. 中国地质大学(武汉)机械与电子信息学院, 武汉 430074;2. 中国地质大学(武汉)地球物理与空间信息学院地球内部多尺度成像湖北省重点实验室, 武汉 430074;3. 河北地质大学勘查技术与工程学院, 石家庄 050031;4. 代尔夫特理工大学土木与地球科学学院, 荷兰 2628 CN
基金项目:国家自然科学基金(41674138,41304082,41304078),中国石油科技创新基金(2015D-5006-0304),油气资源与探测国家重点实验室开放基金(PRP/open-1302)资助.
摘    要:钻井过程中储层受到泥浆侵入影响的程度与储层岩性有着密切关系,其中储层渗透率对侵入深度有着较大影响,因此若可以获知泥浆侵入深度,则有望对储层渗透率进行评估.本文首先建立含泥饼增长的泥浆侵入数值模型,然后建立阵列感应测井数值模型,两者的联合正演模拟显示泥浆侵入对地层的影响可以反映在阵列感应测井响应上,利用阻尼最小二乘法对阵列感应测井响应进行反演可以得到侵入深度.对侵入深度和储层渗透率的关系进行分析发现:在渗透率为1~100mD(1mD=0.987×10~(-3)μm~2)数量级的储层中,渗透率的变化可以在侵入深度上得到反映.以储层和井数据进行二维数值模拟发现:利用阵列感应测井响应反演出来的侵入深度曲线反映了渗透率在地层上的变化趋势,采用解释图版的方法可以对储层各层段的渗透率进行粗略估算.

关 键 词:阵列感应测井  渗透率评价  泥浆侵入  
收稿时间:2015-05-26

Evaluation of reservoir permeability using array induction logging
ZHOU Feng,MENG Qing-Xin,HU Xiang-Yun,SLOB Evert,PAN He-Ping,MA Huo-Lin.Evaluation of reservoir permeability using array induction logging[J].Chinese Journal of Geophysics,2016,59(11):4360-4371.
Authors:ZHOU Feng  MENG Qing-Xin  HU Xiang-Yun  SLOB Evert  PAN He-Ping  MA Huo-Lin
Institution:1. School of Mechanics and Electronic Information, China University of Geosciences, Wuhan 430074, China;2. Hubei Subsurface Multi-scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences(Wuhan), Wuhan 430074, China;3. Exploration Technology and Engineering College, Hebei GEO University, Shijiazhuang 050031, China;4. Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft 2628 CN, the Netherlands
Abstract:During drilling, the mud column sustains a slightly higher pressure than the formation to maintain the stability of the well wall, which causes the mud filtrate to penetrate into formation pores and displace in-situ fluids. The invasion depth is affected by reservoir properties, especially the reservoir permeability. Therefore, it is possible to estimate the reservoir permeability if the invasion depth can be measured.#br#A numerical study was conducted to investigate the feasibility of evaluating reservoir permeability with array induction logging. A mud invasion model was built up by coupling mud cake growth with multiple-phase fluid flow, and an array induction logging model was established based on the Born geometric factor theory. Joint forward simulations of mud invasion and array induction logging indicated that the responses of array induction logging can reflect the effect of mud invasion on the formation resistivity. Inversion based on the damped least square method revealed that the invasion depth can be acquired from array induction logging data.#br#We investigated the association between reservoir permeability and invasion depth, and found that in a reservoir with a permeability of 1 to 100 mD (1 mD=0.987×10-3μm2), the reservoir permeability governs the invasion depth, and thus the permeability can be evaluated according to invasion depth. A two-dimensional numerical simulation showed that the inversed invasion depth curve had a similar fluctuation to the permeability variation. For a layered formation, a series of interpretation charts can be produced to evaluate the permeability of every layer with tolerable errors. The numerical investigation proves the feasibility of estimating reservoir permeability with array induction logging.
Keywords:Array induction logging  Permeability evaluation  Mud invasion
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