Error Analysis in Rock Physics Modelling

Summary Rock physics modelling often contains errors, and finding the origins of such errors can be a starting point to fix them. For this purpose, the concept of error analysis in the form of error crossplots (petrophysical properties versus errors in modeling) is introduced to investigate the available errors. Based on the data pattern in the error crossplots, one is capable of discovering the reasons for errors in modelling. In this regard, an unconsolidated oil sand reservoir’s density and P-wave velocity have been modelled with correct and erroneous petrophysical interpretations to observe the error pattern on different crossplots. A constant bias from the error baseline, for instance, could be related to the wrong rock physics model parameter selection, or a steep slope in the data with no bias could refer to the incorrect petrophysical interpretation.

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Published
2025-01-01
DOI
https://doi.org/10.3997/2214-4609.2025646008
Primary Topic
Geological Modeling and Analysis
Type
article
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article

Error Analysis in Rock Physics Modelling

Mohammad Reza Saberi, Benyamin Khadem
Geological Modeling and Analysis
article

Error Analysis in Rock Physics Modelling

Mohammad Reza Saberi, Benyamin Khadem
article en

Abstract

Summary Rock physics modelling often contains errors, and finding the origins of such errors can be a starting point to fix them. For this purpose, the concept of error analysis in the form of error crossplots (petrophysical properties versus errors in modeling) is introduced to investigate the available errors. Based on the data pattern in the error crossplots, one is capable of discovering the reasons for errors in modelling. In this regard, an unconsolidated oil sand reservoir’s density and P-wave velocity have been modelled with correct and erroneous petrophysical interpretations to observe the error pattern on different crossplots. A constant bias from the error baseline, for instance, could be related to the wrong rock physics model parameter selection, or a steep slope in the data with no bias could refer to the incorrect petrophysical interpretation.

University of Stavanger (NO)
Openalex Percentile: Top 79%
Geological Modeling and Analysis
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