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Inversion methods for data modeling

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Journal Articles
Petrophysics 60 (06): 854–871.
Paper Number: SPWLA-2019-v60n6a9
Published: 01 December 2019
... field localities consistently fit with the core data. The smaller root-mean-square errors between inversion results and referenced Petrophysical properties for both synthetic case (≤ 0.06) and real field data (≤ 0.061) further confirm that the inverse rock physics modeling method is feasible...
Proceedings Papers

Paper presented at the 2015 SEG Annual Meeting, October 18–23, 2015
Paper Number: SEG-2015-5850403
... for numerical differentiation and interpolation. We have also developed an algorithm for 3D inversion of MCSEM data based on the hybrid FD-IE method. A model study for the 3D inversion of MCSEM data is presented to demonstrate the effectiveness of the developed hybrid method. Introduction The IE method...
Proceedings Papers

Paper presented at the 2013 SEG Annual Meeting, September 22–27, 2013
Paper Number: SEG-2013-0395
... upstream oil & gas inverted model reservoir characterization data inversion A wavelet-based model compression method for three-dimensional electromagnetic data inversion Yun Lin , Maokun Li, Aria Abubakar and Tarek M. Habashy, Schlumberger SUMMARY In this paper, we discuss an extension of our...
Proceedings Papers

Paper presented at the SPE Saudi Arabia Section Technical Symposium, May 7–8, 2007
Paper Number: SPE-110970-MS
... for the chlorophyll retrieval and also it is not easy to retrieve chlorophyll of noisy remotely sensed data in optically complex waters. Therefore robust and accurate inverse modeling methods for the chlorophyll retrieval of satellite data are needed. The aim of this study is to develop an innovative robust...
Proceedings Papers

Paper presented at the SPE Europec/EAGE Annual Conference and Exhibition, June 12–15, 2006
Paper Number: SPE-100190-MS
... Abstract A work flow to improve the modeling of a fluvial reservoir is presented. Modeling of fluvial reservoirs can be very uncertain when only conditioned to well data. By utilising 3D and 4D seismic inversion data to condition the geological model, the uncertainty in the facies distribution...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 29–October 2, 2002
Paper Number: SPE-77605-MS
... Abstract In this paper we describe a novel approach to fuzzy model identification that gives solution to the inverse problem of permeability prediction from NMR data. The fuzzy logic approach uses fuzzy If-Then rules to establish the relationship between permeability (output variable...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 27–30, 1998
Paper Number: SPE-48971-MS
... Abstract Generation of a reservoir model's spatial permeability distribution directly from historical multiple-well pressure and fractional flow rate data requires an inverse solution of the flow equations. This computation generally utilizes a gradient method to solve the minimization problem...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583288
... potential field data into the expected physical property property needs to be obtained from the 2D observation data, model with high precision. Experiments on gravity data which can be realized in the FCN framework. show that the proposed inversion method has good robustness and generalization. In addition...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583309
... phase information with uniformly distributed value range 0,2 ) . Inversion method Standardization We use the forward relationship between the inversion Statistical characteristic parameter model parameters and the seismic data, introduce the statistical characteristic parameters satisfying the Gauss...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3414726
... and the improvement of computational data example, it is further compared with the industrial efficiency, which restricts the practical application of multi- widely used model-based inversion and sparse pulse point geostatistical inversion. inversion method. Both results demonstrate the advantages of this method...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3581155
... in regularized joint inversion of multiphysics data. The method enforces strong coupling between different models and promotes the sharp boundaries of the targets. The practical effectiveness of the developed methods is demonstrated by the case study of integrating and imaging electromagnetic (EM) and full...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583441
... uncertainty simultaneously. uncertainty induced by the noisy labeled seismic data and The epistemic uncertainty can be used to evaluate the epistemic uncertainty captures the ignorance of the model. generalization ability of the trained model and the inversion The deep ensembles method (Lakshminarayanan et al...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3415697
... results of the BAII method model which contains different geological bodies such as the and the conventional sparse-spike inversion method, with wedges, lenses, thin layers, and fault. The two inserted the full stack seismic data superimposed. We can observe curves represent the log data extracted from...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594175
... (DDFWI), time-domain multisource data, target-oriented inversion, calculation of model covariance with an adaptive Metropolis algorithm, and our new standard deviation estimation method. The MCMC algorithm is a typical random-walk Metropolis-Hastings MCMC. In the conventional deterministic optimization...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3593878
... Well Area Configuration modeling large physical properties difference between different wells, and can improve the prediction accuracy of reservoir. In the conventional inversion modeling method, variogram is used to describe the difference of data spatial structure, Medium frequency part is obtained...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583169
... for anomalies of simple geometrical shape during plemented a SGI method for inverting TEM data targeting thin the parametric inversion stage. conductors. We have tested the SGI method with a real dataset and the recovered model corresponds well with drilling data. The surface geometry inversion (SGI) developed...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426813
... Joint inversion of multiphysics data is a practical approach to the integration of geophysical data, which produces models of reduced uncertainty and improved resolution. The development of effective methods of joint inversion requires considering different resolutions of different geophysical...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583355
... optimization of genetic algorithm, which is a subset of full waveform inversion, was ran to obtain the high-precision subsurface depth model. We applied the prestack waveform inversion method to the actual 3D seismic data, obtained higher precision subsurface properties P-and S-wave velocites, density ρ...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3412681
.... Based on this theory, we can find that in case of seismic data has no noise or a little noise, the exact inversion results can be obtained, even with moderated noise in seismic data, the optimal inversion results can also be obtained by the proposed method. Finally, the synthetic models and seismic data...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583565
... footprints, or time lapse surveys, neural networks can be substantially faster than traditional inversion as the network needs to be trained only once for several successive model predictions. The method can be applied to other geophysical data including seismic, electromagnetic and gravity, at various...

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