Abstract
This work presents a new methodology for simulating the morphology and petrophysical properties of hydrocarbon reservoirs in turbidite channel systems. The simulation of the morphology uses an object-based algorithm that imposes multipoint statistics of azimuth angle classes and cdfs of width and thickness as measured from training images of channels. A facies is then assigned to each block of the reservoir grid according to a conceptual model of facies both laterally and vertically within the channels. Following this, as each facies has a specific cdf for both porosity and permeability, simulated images of these petrophysical properties are generated using direct sequential simulation (DSS) with local histograms. For illustrative purposes, a case study of a reservoir in the Lower Congo Basin is presented.
Original language | English |
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Title of host publication | Springer |
Chapter | 43 |
Pages | 641-652 |
ISBN (Electronic) | 978-3-319-46818-1 |
DOIs | |
Publication status | Published - 8 Mar 2017 |
Event | 10th International Geostatistical Congress - Valencia, Spain Duration: 5 Sept 2016 → 9 Sept 2016 |
Conference
Conference | 10th International Geostatistical Congress |
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Country/Territory | Spain |
City | Valencia |
Period | 5/09/16 → 9/09/16 |
Keywords
- Search Tree
- Training Image
- Azimuth Angle
- Petrophysical Property
- Facies Distribution