Contribution of this method to such studies is the reveal of compatibility of the resistivity model and data that usually neglected in other approaches.
📌 3 Key Takeaways
🎯
Objective & Hypothesis:In well logging measurements, the effect of the fluid in the well on the resistivity log curves and the investigation depth/distance for 16 and 64 inches logs were investigated in two-dimensional numerical modeling with the assumption that underground structures are symmetrical.
📊
Key Findings & Data:Generally, in the case of using the conductive fluid (1 ohm.m<) depending on the ratio of unit thickness (k) with respect to the length of log (l) (i.e. k/l), the insulating formations produce an “M” shaped signs for k/l<1 and appears as the conductive unit that cause fictitious structures in the data.
💡
Conclusion & Impact:Contribution of this method to such studies is the reveal of compatibility of the resistivity model and data that usually neglected in other approaches.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:resistivity well log modelling · Resistivity well log · resistivity normal log
Abstract
In well logging measurements, the effect of the fluid in the well on the resistivity log curves and the investigation depth/distance for 16 and 64 inches logs were investigated in two-dimensional numerical modeling with the assumption that underground structures are symmetrical. Structural information was obtained via recovering the real resistivity values by using the inversion rather than empirical approaches. Generally, in the case of using the conductive fluid (1 ohm.m<) depending on the ratio of unit thickness (k) with respect to the length of log (l) (i.e. k/l), the insulating formations produce an “M” shaped signs for k/l<1 and appears as the conductive unit that cause fictitious structures in the data. The depth/distance of the research on the other hand causes deviations in the resistivity of structure due to tool length and distance. By the help of the inversion study one of the possible models is obtained. Contribution of this method to such studies is the reveal of compatibility of the resistivity model and data that usually neglected in other approaches.
KARATAŞ, D. C., ZAMAN, U., ULUGERGERLİ, E. U. (2019). An approach to obtain the structural information from the electrical resistivity well logging curves. Maden Tetkik ve Arama Dergisi, Cilt: 158 - Sayı: 158, 345–352. https://ajindex.com/articles/53930
Ahmadi, A.M., Zendehboudi, S., Lohi, A., Elkamel, A., Chatzis, I. 2013. Reservoir permeability prediction by neural networks combined with hybrid genetic algorithm and particle swarm optimization. Geophysical Prospecting, 61(3), pp.582-598.
Anderson, B. I. 2001. Modeling and Inversion Methods for the Interpretation of Resistivity Logging Tool Response, DUP Science. Dutta, D.J. 1994. TRANS4: a FORTRAN program for computing apparent resistivity departure curves for an infinitely thick bed with transitional invaded zone in borehole geophysics. Computers and Geosciences 20 (3), pp.293–311.
Gianzero, S. 1981. The mathematics of resistivity and induction logging. The Technical Review. 29(1), pp.4–32.
Liu, Q. H., Anderson, B., Chew, W. C. 1994. Modeling low-frequency electrode-type resistivity tools in invaded thin beds. IEEE Transactions on Geoscience and Remote Sensing, 32(3): pp.494– 498. Liu, Q. H., Lin, 2002. Joint inversion of induction/lateral/ normal logs, case studies at Shenli field site, China Mackie, R. L., Madden, T. R. 1993. Three- dimensional magnetotelluric inversion using conjugate gradients. Geophysical Journal International, 115(1), pp.215-229.
Nam, M.J., Pardo, D. Torres-Verdín, C. 2010. Assessment of Delaware and Groningen effects on dual- laterolog measurements with a self-adaptive hp finite-element method Geophysics. 75. DOI: 10.1190/1.3496670 Pekiner, Y. 2002. Kuyu Logları Tekniğiyle Yeraltının Keşfi, Seçkin Yayıncılık. Pardo, D., Torres-Verdín, C., Paszynski, M. 2008. Simulations of 3D DC borehole resistivity measurements with a goal-oriented hp finite-element method. Part II: Through-casing resistivity instruments Computational Geosciences. 12: 83-89. DOI: 10.1007/s10596-007-9061-y Pardo, D., Paszynski, M., Torres-verdin, C., Demkowicz, L. 2007. Simulation of 3D DC borehole resistivity measurements with a goal-oriented hp finite- element method, Part I: laterolog and LWD. Journals of the Serbian Society for Computational Mechanics 1, pp.62–73. Rodríguez-Rozas Á., Pardo, D.A. 2016 priori fourier analysis for 2.5D finite elements simulations of logging- while-drilling (LWD) resistivity measurements Procedia Computer Science. 80: 782-791. DOI: 10.1016/j.procs.2016.05.368 Scott, J.H. 1978. A FORTRAN algorithm for correcting resistivity logs for borehole diameter and mud resistivity. Spiez, B. R. 1996. Electrical and electromagnetic borehole measurements: A review. Schlumberger- Doll Research, Old Quarry Road, Ridgefield, Connecticut 06877-4