Connectivity in Pixel-Based Facies Models
This study investigates whether pixel-based geostatistical modelling methods can be used to generate high net:gross ratio models with low connectivity of the net facies, a common combination in many natural geological systems. Connectivity as a function of net:gross is systematically measured in sta...
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| Veröffentlicht in: | Mathematical geosciences 2021-04, Vol.53 (3), p.415-435 |
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| creator | Walsh, D. A. Manzocchi, T. |
| description | This study investigates whether pixel-based geostatistical modelling methods can be used to generate high net:gross ratio models with low connectivity of the net facies, a common combination in many natural geological systems. Connectivity as a function of net:gross is systematically measured in stationary, representative, horizontally isotropic three-dimensional models generated using three different pixel-based geostatistical methods: sequential indicator simulation, truncated Gaussian simulation and multiple-point statistics modelling. All methods are found to have percolation thresholds similar to, or substantially lower than, that of a random object-based model in which the net facies becomes macroscopically connected at a critical net:gross ratio of 0.27. A geometrical transformation previously defined for object-based models known as the compression method has been adapted to deal also with pixel-based models. Application of the method, calibrated using the newly established percolation thresholds, allows construction of geologically realistic facies models using a range of pixel-based methods. The resultant models contain quantifiable levels of connectivity that are defined independently of the model net:gross ratio. |
| doi_str_mv | 10.1007/s11004-021-09931-3 |
| format | Article |
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A geometrical transformation previously defined for object-based models known as the compression method has been adapted to deal also with pixel-based models. Application of the method, calibrated using the newly established percolation thresholds, allows construction of geologically realistic facies models using a range of pixel-based methods. 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A.</creatorcontrib><creatorcontrib>Manzocchi, T.</creatorcontrib><title>Connectivity in Pixel-Based Facies Models</title><title>Mathematical geosciences</title><addtitle>Math Geosci</addtitle><description>This study investigates whether pixel-based geostatistical modelling methods can be used to generate high net:gross ratio models with low connectivity of the net facies, a common combination in many natural geological systems. Connectivity as a function of net:gross is systematically measured in stationary, representative, horizontally isotropic three-dimensional models generated using three different pixel-based geostatistical methods: sequential indicator simulation, truncated Gaussian simulation and multiple-point statistics modelling. All methods are found to have percolation thresholds similar to, or substantially lower than, that of a random object-based model in which the net facies becomes macroscopically connected at a critical net:gross ratio of 0.27. A geometrical transformation previously defined for object-based models known as the compression method has been adapted to deal also with pixel-based models. Application of the method, calibrated using the newly established percolation thresholds, allows construction of geologically realistic facies models using a range of pixel-based methods. The resultant models contain quantifiable levels of connectivity that are defined independently of the model net:gross ratio.</description><subject>Chemistry and Earth Sciences</subject><subject>Compression</subject><subject>Computer Science</subject><subject>Connectivity</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Geostatistics</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydrogeology</subject><subject>Modelling</subject><subject>Percolation</subject><subject>Physics</subject><subject>Pixels</subject><subject>Simulation</subject><subject>Special Issue</subject><subject>Statistical methods</subject><subject>Statistics for Engineering</subject><subject>Three dimensional models</subject><subject>Thresholds</subject><issn>1874-8961</issn><issn>1874-8953</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LxDAUxIMouK5-AU8FTx6i7-Vf26MWV4UVPeg5hCSVLLVdk664336jFb0JD-Yd5jcDQ8gpwgUClJcJswgKDCnUNUfK98gMq1LQqpZ8__dXeEiOUloBKOQSZ-S8Gfre2zF8hHFbhL54Cp--o9cmeVcsjA0-FQ-D8106Jget6ZI_-dE5eVncPDd3dPl4e99cLanhgo3UQa4yDhVTzJSslFyJCrB2XEhEJqxqhffMomyZy4iCWoCxwPLVwiGfk7Mpdx2H941Po14Nm9jnSs0kggIloMouNrlsHFKKvtXrGN5M3GoE_TWJnibReRL9PYnmGeITlLK5f_XxL_ofagcAumBP</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Walsh, D. 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| subjects | Chemistry and Earth Sciences Compression Computer Science Connectivity Earth and Environmental Science Earth Sciences Geostatistics Geotechnical Engineering & Applied Earth Sciences Hydrogeology Modelling Percolation Physics Pixels Simulation Special Issue Statistical methods Statistics for Engineering Three dimensional models Thresholds |
| title | Connectivity in Pixel-Based Facies Models |
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