Response simulation and theoretical calibration of a dual-induction resistivity LWD tool
Xu Wei1,2, Ke Shi-Zhen1,2, Li An-Zong3, Chen Peng3, Zhu Jun3, and Zhang Wei3
1. College of Geophysics and Information Engineering, China University of Petroleum, Beijing 102249, China.
2. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China.
3. China Petroleum Logging CO. LTD., Xi’an, Shaanxi 710061, China.
Abstract：
In this paper, responses of a new dual-induction resistivity logging-while-drilling (LWD) tool in 3D inhomogeneous formation models are simulated by the vector finite element method (VFEM), the influences of the borehole, invaded zone, surrounding strata, and tool eccentricity are analyzed, and calibration loop parameters and calibration coefficients of the LWD tool are discussed. The results show that the tool has a greater depth of investigation than that of the existing electromagnetic propagation LWD tools and is more sensitive to azimuthal conductivity. Both deep and medium induction responses have linear relationships with the formation conductivity, considering optimal calibration loop parameters and calibration coefficients. Due to the different depths of investigation and resolution, deep induction and medium induction are affected differently by the formation model parameters, thereby having different correction factors. The simulation results can provide theoretical references for the research and interpretation of the dual-induction resistivity LWD tools.
XU Wei,KE Shi-Zhen,LI An-Zong et al. Response simulation and theoretical calibration of a dual-induction resistivity LWD tool[J]. APPLIED GEOPHYSICS, 2014, 11(1): 31-40.
[1]
Anderson, B., Bonner, S., Luling, M. G., and Rosthal, R., 1992, Response of 2-MHz LWD resistivity and wireline induction tools in dipping bed sand laminated formations: J. Log Analyst, 33(5), 461 - 475.
[2]
Allan, V., Sinclair, P., Prain, K., and Page, S., 2004, Design, development and field introduction of a unique low-frequency (20 Khz) induction resistivity loggingwhile-drilling tool: SPWLA 45th Annual Logging Symposium, 1 - 14.
[3]
Dubcova, L., Solin, P., Cerveny, J., and Kus, P., 2010, Space and time adaptive two-mesh hp-finite element method for transient microwave heating problems: Electromagnetics, 30, 23 - 40.
[4]
Doll, H. G., 1949, Introduction to induction logging and application to logging of wells drilled with oil base mud: Journal of Petroleum Technology, 1(6), 148 - 162.
[5]
Feng, Q. N., Ju, X. D., Ke, S. Z., and Li, H. Y., 2010, Logging tool principle: China Petroleum Industry Press, Beijing.
[6]
Hagiwara, T., Banning, E., Ostermeier, R., and Haugland, M., 2004, Effects of mandrel, borehole and invasion for tilt-coil antennas: 80th SPE Annual Technical Conference and Exhibition, SPE 84245, 1 - 11.
[7]
Jin, J. M., 2002, The finite element method in electromagnetics: Wiley-IEEE Press.
[8]
Lovell, J. R., 1993, Finite element methods in resistivity logging: Ph.D.Thesis, Delft University of Technology, Netherlands.
[9]
Meyer, W. H., Hart, E., and Jensen, K., 2008, Geosteering with a combination of extra deep and azimuthal resistivity tools: 84th SPE Annual Technical Conference and Exhibition, SPE 115675, 1 - 14.
[10]
Mahiout, S., 2012, High-resolution LWD resistivity images for carbonate facies identification and geosteering: 88th SPE Annual Technical Conference and Exhibition, SPE 162274, 1 - 20.
[11]
Matuszyk, P. J., and Torres-Verdin, C., 2011, HP-adaptive multi-physics finite-element simulation of wireline borehole sonic waveforms: 81th SEG Annual International Meeting, Expanded Abstracts, 444 - 448.
[12]
Pardo, D., Demkowicz, L., Torres-Verdin, C., and Paszynski, M., 2006, Two-dimensional high-accuracy simulation of resistivity logging-while-drilling (LWD) measurements using a self-adaptive goal-oriented hp-finite element method: SIAM Journal on Applied Mathematics, 66(6), 2085 - 2106.
[13]
Sun, X. Y., Nie, Z. P., Zhao, Y. W., Li, A. Y., and Luo, X., 2008, The electromagnetic modeling of logging-while-drilling tool in tilted anisotropic formations using vector finite element method: Chinese J. Geophysics (in Chinese), 51(5), 1600 - 1607.
[14]
Shen J. S., Sun W. B., Zhao W. J., and Zeng W. C., 2008, Application of 2.5D cross-hole electromagnetic inversion in Gudao Oil Field, East China: Applied Geophysics, 5(3), 159 - 169.
[15]
Solin, P., Dubcova, L., Cerveny, J., and Dolezel, I., 2010, Adaptive hp-FEM with arbitrary-level hanging nodes for Maxwell’s equations: Advances in Applied Mathematics and Mechanics, 2(4), 518 - 532.
[16]
Wei, B. J., 2007, Response and calibration of a new logging-while-drilling resistivity tool: Chinese J. Geophysics (in Chinese), 50(2), 632 - 641.
[17]
Wang, H., Tao, G., Zhang, K., and Li, J., 2012, Numerical simulation for acoustic reflection imaging with FDM and FEM: 74th EAGE Technical Program Expanded Abstracts, 1 - 5.
[18]
Yuan, S. Y., and Wang, S. X., 2013, Edge-preserving noise reduction based on Bayesian inversion with directional difference constraints: Journal of Geophysics and Engineering, 10(2), 1 - 10.
[19]
Zhou, Q., and Hilliker, D. J., 1991, MWD resistivity tool response in a layered medium: Geophysics, 56(11), 1738 - 1748.
2014, Vol. 11 
