An effective method for 3D geological modeling with multi-source data integration

Wu, Qiang; Xu, Hua; Zou, Xukai

doi:10.1016/j.cageo.2004.09.005

Cited by 202 publications

(83 citation statements)

References 9 publications

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“…The digital formation is a comprehensive research system which is gradually developed with the research of the 3D digital GIS (Zhang et al 1997), geological modeling (Wu et al 2005) and 3D visualization in drilling operations (Victor 1997). In order to realize the scientific management and application of the digital formation, this paper put forward the concept of the formation matrix.…”

Section: The Concept Of Formation Matrixmentioning

confidence: 99%

Analysis of 3D formation pressure based on logging data

Sheng

Guan

Wei

2016

J Petrol Explor Prod Technol

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A method for constructing regional 3D formation pressure based on logging data was established in this paper. It aims to deal with the problem of constructing regional 3D formation pressure in the block which is short of the seismic data or has poor quality of seismic data. To begin with, logging data and core data of drilled wells were collected. Making full use of the fine continuity and accurate resolving capability of logging data, we calculated the formation pressure of drilled wells based on the Eaton law. In addition, based on the concept of digital strata, the concept of formation matrix was put forward. What is more, formation matrix of the aimed layer group was built by making use of the drilled well formation pressure based on the epitaxial transfer algorithm. Finally, we realized the description of the regional 3D formation pressure. To verify the reliability of the method, one drilled well formation pressure was derived from the 3D formation pressure. It was compared with the pressure interpreted by the logging data. The maximum error was less than 5 %. Finally, by using the computer visible language, the software of describing 3D formation pressure was developed. And it is conductive to drilling engineer to predict formation pressure which can provide the basis for the casing design and the selection of the drilling fluid density.

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Section: The Concept Of Formation Matrixmentioning

confidence: 99%

Analysis of 3D formation pressure based on logging data

Sheng

Guan

Wei

2016

J Petrol Explor Prod Technol

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“…In this section we develop a simple 3D extrapolation [11,[24][25][26][27] that can be applied to spectral-recovery problems. We reconsider the interpolation problem by examining some basic equations, Eqs.…”

Section: D Extrapolationmentioning

confidence: 99%

“…However, even with this fast and effective hybrid method, out-of-gamut data still must be recovered through the time-consuming pseudoinverse technique of NMT. In this report, we apply a simple extrapolation technique [11,[24][25][26][27] to the spectral recovery process to address the color gamut problem of interpolation. We start with a brief introduction of the 3D Delaunay interpolation method and proposed algorithms for the 3D extrapolation of tristimulus values.…”

Section: Introductionmentioning

confidence: 99%

Spectral Reflectivity Recovery from Tristimulus Values Using 3D Extrapolation with 3D Interpolation

Kim

Werner²,

Siminovitch

et al. 2014

Journal of the Optical Society of Korea

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We present a hybrid method for spectral reflectivity recovery, using 3D extrapolation as a supplemental method for 3D interpolation. The proposed 3D extrapolation is an extended version of 3D interpolation based on the barycentric algorithm. It is faster and more accurate than the conventional spectral-recovery techniques of principal-component analysis and nonnegative matrix transformation. Four different extrapolation techniques (based on nearest neighbors, circumcenters, in-centers, and centroids) are formulated and applied to recover spectral reflectivity. Under the standard conditions of a D65 illuminant and 1964 10° observer, all reflectivity data from 1269 Munsell color chips are successfully reconstructed. The superiority of the proposed method is demonstrated using statistical data to compare coefficients of correlation and determination. The proposed hybrid method can be applied for fast and accurate spectral reflectivity recovery in image processing.

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“…Advantages of 3D models for better understanding of geology to a large audience are well known (Wijns, Boschetti et al 2003, Wu, Xu et al 2005. Geological data based on all three dimensions provides better insight into the geological conditions, and better understanding of complex geological phenomenon and processes.…”

Section: Introductionmentioning

confidence: 99%

Managing Geological Profiles in Databases for 3d Visualisation

Jarna

Grøtan

Henderson

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Geology and all geological structures are three-dimensional in space. GIS and databases are common tools used by geologists to interpret and communicate geological data. The NGU (Geological Survey of Norway) is the national institution for the study of bedrock, mineral resources, surficial deposits and groundwater and marine geology. 3D geology is usually described by geological profiles, or vertical sections through a map, where you can look at the rock structure below the surface. The goal is to gradually expand the usability of existing and new geological profiles to make them more available in the retail applications as well as build easier entry and registration of profiles. The project target is to develop the methodology for acquisition of data, modification and use of data and its further presentation on the web by creating a user-interface directly linked to NGU's webpage. This will allow users to visualise profiles in a 3D model.

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An effective method for 3D geological modeling with multi-source data integration

Cited by 202 publications

References 9 publications

Analysis of 3D formation pressure based on logging data

Analysis of 3D formation pressure based on logging data

Spectral Reflectivity Recovery from Tristimulus Values Using 3D Extrapolation with 3D Interpolation

Managing Geological Profiles in Databases for 3d Visualisation

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