Results 261 to 270 of about 508,483 (302)

Scaling geology and smooth solutions to inverse problems

SEG Technical Program Expanded Abstracts 1990, 1990
Geophysical inverse problems are often ill-posed and require regularization or smoothing to obtain a physically realistic solution. Methods which determine the amount of smoothing to incorporate into the inversion are generally subjective, either through the choice of mathematical technique or the interpreter’s prior beliefs.
M. Pilkington, J. P. Todoeschuck
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Building probabilistic quasi-geology models and mapping mineral resources using joint inversion and geology differentiation

2023
Multiple data sets are typically collected in an airborne survey. The standard way of interpreting multiple airborne data sets is to invert them separately to obtain a set of physical property models, e.g., a density contrast and a susceptibility model. There are two issues with this approach.
Sun, J., Wei, X.
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An 'Inverse CCS Site' in NW Hungary – Geology and Modeling

Proceedings, 2012
The research of natural analogues for future CCS projects is a dynamically growing sector of geoengineering. In our work this newly discovered aspect of a CO2 field is presented. In NW Hungary there is a field utilized for more than 60 years. Thus there is a large amount of data from hydrocarbon exploration, gas measurements, seismic sections, well ...
C.S. Király, M. Berta, Á. Szamosfalvi, G. Falus, C. Szabó   +4 more
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Inverse Problem Using Geology and Geophysics

Proceedings, 2013
Subsurface modeling is a key tool to describe, understand and quantify geological processes. As the subsurface is inaccessible and its observation is limited by acquisition methods, 3D models of the subsurface are usually built from the interpretation of sparse data with limited resolution.
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Multiparameter Data-Space Reflectivity Full Waveform Inversion in Complex Geology

Saint Petersburg 2020, 2020
Summary A reliable numerical method to solve inverse dynamic problem for elastic waves equation is proposed. This method is based on nonlinear least-squares formulation which is widely known as Full Waveform Inversion (FWI). The key issue on this way is correct reconstruction of macrovelocity component of the model with input seismic data without time ...
K. Gadylshin, V. Cheverda
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Computational Geology 11 – Uniformitarianism and the Inverse Problem

Journal of Geoscience Education, 2000
(2000). Computational Geology 11 – Uniformitarianism and the Inverse Problem. Journal of Geoscience Education: Vol. 48, No. 3, pp. 373-381.
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Geology as the Main Factor in Determining the Technology Required in Seismic Inversion and Interpretation

Proceedings, 2012
В условиях активного развития и применения методик сейсмической инверсии ключом к успешному решению задач прогноза является не столько алгоритм, сколько понимание особенностей геологического строения изучаемых объектов. В рамках работы над одним из производственных проектов мы столкнулись с очень интересным и нестандартным для Западной Сибири ...
M. Romanenko, D. Kutcheryavenko, S. Iliin, A. Dubok, D. Emeliyanov   +4 more
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Inverse Methods to Combine Geology, Geostatistics and Multiphysic Data

Proceedings, 2012
Inverse methods are used to infer model parameters from observed data that are related via random or deterministic functions. Their application to Earth Sciences has expanded more recently to encompass the problem of data and information integration considering the combination of multiple geophysical data surveys, information of multiple properties ...
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A Forward Glimpse Into Inverse Problems Through a Geology Example

PRIMUS, 2012
This paper describes a forward approach to an inverse problem related to detecting the nature of geological substrata which makes use of optimization techniques in a multivariable calculus setting. The true nature of the related inverse problem is highlighted.
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Geology-guided Quantification of Production-Forecast Uncertainty in Dynamic Model Inversion

SPE Annual Technical Conference and Exhibition, 2011
Abstract The presence of a large number of geologic uncertainties and limited well data typically increase the challenges associated with hydrocarbon recovery forecasting. Although recent advances in geologic modeling enable the automation of the model generation process by means of next-generation geostatistical tools, the computation ...
Marko Maucec, Stan Cullick, Genbao Shi
openaire   +1 more source