2002Journal of the Japanese Association for Petroleum TechnologyOpen access

Geostatistics.

Katsuhei Yoshioka

Open full text 2 citations

Abstract

The word kriging, which is a basic concept of geostatistics, was named from D. G. Krige, a South African mining engineer, who developed a new estimation method in the early 1950s. Georges Matheron, who was a French engineer and currently known as a creator of geostatistics, formalized Krige's innovative concepts in the early 1960s. It was the mid-to late 1980s that geostatistical techniques started to be used in the petroleum industry. The reasons why geostatistics has been spread so much in the petroleum industry are the three major features as follows, 1) Geostatistical techniques are mapping (or modeling) tools utilizing the spatial continuity of existing data. 2) They can estimate uncertainty from variance distribution. 3) They can integrate geology, geophysics, and engineering data.For example, kriging not only provides a spatial distribution but also estimate error-variance at any unknown data point. Kriged results are depended on a variogram model, which has been build from known data (e. g. well-log measurement). Cokriging, expanded from kriging, uses different kind of data. When porosity value should be estimated, the related acoustic data, such as seismic data, are combined. Sequential simulation (or cosimulation) techniques, based on kriging (or cokriging), can provide the equi-probable images more heterogeneous than kriged (or cokriged) results. They are now indispensable tools of reservoir characterization.

Open-access reader

About this research paper

What this paper is about

The word kriging, which is a basic concept of geostatistics, was named from D. G. Krige, a South African mining engineer, who developed a new estimation method in the early 1950s. Georges Matheron, who was a French engineer and currently known as a creator of geostatistics, formalized Krige's innovative concepts in the early 1960s. It was the mid-to late 1980s that geostatistical techniques started to be used in the petroleum industry. The reasons why geostatistics has been spread so much in the petroleum industry are the three major features as follows, 1) Geostatistical techniques are mapping (or modeling) tools utilizing the spatial continuity of existing data. 2) They can estimate uncertainty from variance distribution. 3) They can integrate geology, geophysics, and engineering data.For example, kriging not only provides a spatial distribution but also estimate error-variance at any unknown data point. Kriged results are depended on a variogram model, which has been build from known data (e. g. well-log measurement). Cokriging, expanded from kriging, uses different kind of data. When porosity value should be estimated, the related acoustic data, such as seismic data, are combined. Sequential simulation (or cosimulation) techniques, based on kriging (or cokriging), can provide the equi-probable images more heterogeneous than kriged (or cokriged) results. They are now indispensable tools of reservoir characterization.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The word kriging, which is a basic concept of geostatistics, was named from D. G. Krige, a South African mining engineer, who developed a new estimation method in the early 1950s. Georges Matheron, who was a French engineer and currently known as a creator of geostatistics, formalized Krige's innovative concepts in the early 1960s. It was the mid-to late 1980s that geostatistical techniques started to be used in the petroleum industry. The reasons why geostatistics has been spread so much in the petroleum industry are the three major features as follows, 1) Geostatistical techniques are mapping (or modeling) tools utilizing the spatial continuity of existing data. 2) They can estimate uncertainty from variance distribution. 3) They can integrate geology, geophysics, and engineering data.For example, kriging not only provides a spatial distribution but also estimate error-variance at any unknown data point. Kriged results are depended on a variogram model, which has been build from known data (e. g. well-log measurement). Cokriging, expanded from kriging, uses different kind of data. When porosity value should be estimated, the related acoustic data, such as seismic data, are combined. Sequential simulation (or cosimulation) techniques, based on kriging (or cokriging), can provide the equi-probable images more heterogeneous than kriged (or cokriged) results. They are now indispensable tools of reservoir characterization.

Key concepts: Geostatistics, Variogram, Kriging, Spatial analysis, Variance (accounting), Geology, Data mining, Reservoir modeling

Related papers

Back to paper searchBrowse research topicsOriginal source
Geostatistics. — Research Paper | ScholarLens