NDLI: Integration of Uncertain Data in Geostatistical Modelling

Content Provider	Springer Nature Link
Author	Soares, Amílcar Nunes, Rúben Azevedo, Leonardo
Copyright Year	2016
Abstract	Most geostatistical estimation and simulation methodologies assume the experimental data as hard measurements, meaning that the measures of a given property of interest are not associated with uncertainty. The challenge of integrating uncertain experimental data at the geostatistical estimation or simulation models is not new. Several attempts have been made, either considering the uncertain data as soft data or interpreting it as inequality constraints, based on the indicator formalism or decreasing the weight of soft data in kriging procedures. This paper presents a stochastic simulation methodology where the uncertain experimental data are modelled by a probability distribution at each sample location. Data values are firstly drawn, by stochastic simulation, at these locations prior to the simulation of the rest of the grid nodes. This method is also extended to the simulation of categorical uncertain data, as well as to the simulation with uncertain block support data. To illustrate the proposed methodology, an application to a real case study of pore pressure prediction of oil reservoirs is presented, as well as an upscaling problem.
Starting Page	253
Ending Page	273
Page Count	21
File Format	PDF
ISSN	18748961
Journal	Mathematical Geosciences
Volume Number	49
Issue Number	2
e-ISSN	18748953
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2017-01-02
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Pore pressure Sequential simulation Uncertainty integration Earth Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Geotechnical Engineering & Applied Earth Sciences Hydrogeology
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Mathematics

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Geostatistical Data Integration Model for Contamination Assessment

Conditioning Facies Simulations with Connectivity Data

Multiscale Parameterization of Petrophysical Properties for Efficient History-Matching

Change-of-Support Models on Irregular Grids for Geostatistical Simulation

Solving Speed and Memory Issues in Multiple-Point Statistics Simulation Program SNESIM

An Overview of Approaches to the Analysis and Modelling of Multivariate Geostatistical Data

Measures of Parameter Uncertainty in Geostatistical Estimation and Geostatistical Optimal Design

Pyrcz and Deutsch: Geostatistical Reservoir Modeling

Numerical Simulation of Reactive Transport on Micro-CT Images

Integration of Uncertain Data in Geostatistical Modelling

Similar Documents

Geostatistical Data Integration Model for Contamination Assessment

Conditioning Facies Simulations with Connectivity Data

Multiscale Parameterization of Petrophysical Properties for Efficient History-Matching

Change-of-Support Models on Irregular Grids for Geostatistical Simulation

Solving Speed and Memory Issues in Multiple-Point Statistics Simulation Program SNESIM

An Overview of Approaches to the Analysis and Modelling of Multivariate Geostatistical Data

Measures of Parameter Uncertainty in Geostatistical Estimation and Geostatistical Optimal Design

Pyrcz and Deutsch: Geostatistical Reservoir Modeling

Numerical Simulation of Reactive Transport on Micro-CT Images

Integration of Uncertain Data in Geostatistical Modelling