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| Forward analysis of array laterolog and rapid correction of environmental factors |
Jin FENG1, Xiao-Wei NI2, Qing YANG1, Yao GUAN1, Di-Ren LIU3,4( ) |
1. Shenzhen Branch of CNOOC (China) Co., Ltd., Shenzhen 518054, China
2. Tarim Oilfield Company,CNPC,Korla 841000,China
3. Key Laboratory of Exploration Technologies for Oil and Gas Resources of Ministry of Education, Yangtze University,Wuhan 430100,China
4. College of Geophysics and Oil Resources, Yangtze University, Wuhan 430100, China |
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Abstract Resistivity logging data constitute an important basis for qualitative division of oil and gas reservoirs and quantitative calculation of oil saturation. However, resistivity logging data are vulnerable to environmental factors, which results in distortion of resistivity logging data. Taking array laterolog instrument as an example and based on finite element numerical simulation method, te authors studied the influence of borehole, surrounding rock and mud intrusion on its response. The results show that MLR1, MLR2 and MLR3 are obviously affected by borehole diameter when the borehole diameter is greater than 8 minutes, MLR4 is basically not affected by borehole diameter, and EALT results in high resistance mud environment are seriously distorted. MLR1, MLR2, MLR3 and MLR4 are seriously affected by the thickness of the layer when the thickness of the layer is less than 0.4m. The larger the difference of resistivity between the surrounding rock and the target layer, the greater the influence of ELAT response. When the invasion radius is less than 30 minutes, R1-MLR3 is greatly affected. When the ratio of formation resistivity to invasion zone resistivity reaches 5,10,100, the apparent resistivity distortion can be higher than 50%. Based on forward analysis, the authors drew the correction chart of EALT wellbore, surrounding rock and mud invasion and propose a fast correction method for the complex correction chart of surrounding rock, which can provide some reference for the correction of environmental factors of EALT logging data.
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Received: 25 February 2019
Published: 25 October 2019
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Corresponding Authors:
Di-Ren LIU
E-mail: liudr666@163.com
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Electrode structure
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Formation model
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Effect of boreholes
a—impact of boreholes; b—effect of mud resistivity
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Well hole correction plate
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Effect of surrounding rocks
a—effect of thickness; b—effect of resistivity of surrounding rocks
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Calibration of surrounding rock
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| Rt/Rs | 0.1 | 0.2 | 0.5 | 2 | 4 | 6 | 10 | 20 | 50 | | a1 | -75.74 | -35.00 | -1.42 | -14.32 | -23.43 | -19.44 | -5.69 | 16.28 | 28.54 | | a2 | 85.29 | 44.01 | 6.73 | 9.42 | 18.53 | 17.66 | 9.94 | -4.43 | -14.15 | | a3 | -33.00 | -18.80 | -4.66 | -0.56 | -2.53 | -2.75 | -1.70 | 0.71 | 2.48 | | a4 | 5.70 | 3.91 | 1.95 | 0.56 | 0.41 | 0.34 | 0.21 | 0.03 | -0.11 | | R2 | 0.98 | 0.97 | 0.99 | 1 | 0.96 | 0.99 | 0.97 | 0.99 | 1 |
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MLR1 correction coefficient table for surrounding rocks(0.1 m≤H≤0.4 m)
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| Rt/Rs | 0.1 | 0.2 | 0.5 | 2 | 4 | 6 | 10 | 20 | 50 | | a1 | 10.07 | 5.29 | 1.76 | -2.28 | -6.46 | -10.35 | -17.21 | -29.20 | -41.71 | | a2 | -29.26 | -15.38 | -5.11 | 6.62 | 18.87 | 30.30 | 50.49 | 85.97 | 124.10 | | a3 | 29.83 | 15.68 | 5.23 | -6.95 | -20.08 | -32.40 | -54.24 | -92.93 | -136.10 | | a4 | -12.29 | -6.42 | -2.17 | 3.10 | -9.19 | 14.97 | 25.28 | 43.73 | 65.31 | | a5 | 3.05 | 2.10 | 1.38 | 0.44 | -0.64 | -1.66 | -3.46 | -6.73 | -10.77 | | R2 | 0.99 | 0.97 | 0.95 | 0.98 | 0.97 | 0.96 | 0.99 | 1 | 0.99 |
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MLR1 correction coefficient table for surrounding rocks(0.4 m≤H≤1 m)
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| Rt/Rs | 0.1 | 0.2 | 0.5 | 2 | 4 | 6 | 10 | 20 | 50 | | a1 | -2.32 | -3.74 | -10.81 | 13.79 | 8.83 | 7.81 | 7.08 | 6.60 | 6.28 | | a2 | 4.32 | 5.74 | 12.81 | -11.79 | -6.83 | -5.81 | -5.08 | -4.60 | -4.28 | | R2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
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MLR1 correction coefficient table for surrounding rocks (1 m≤H≤2 m)
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Effect of mud intrusion
a—impact of intrusion radius; b—impact of intrusive zone resistivity
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Mud intrusion correction plate
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