Advanced Agent-Based Modelling of Subsurface Migration and Accumulation Dynamics of Hydrocarbons

Advanced agent-based modeling (ABM) has been employed to simulate hydrocarbon migration and accumulation within diverse geological environments, providing a detailed representation of these subsurface processes. By treating hydrocarbon molecules as autonomous agents, the model captures the intricate interactions within digital subsurface environments, including sandstone, silt, and shale facies. The approach uncovers how geological traps, such as anticline formations and faulted structures, influence hydrocarbon accumulation, revealing patterns previously challenging to model with conventional methods. Additionally, the research addresses scaling challenges in ABM, offering insights into solutions like parallel computing. The findings not only advance petroleum geoscience but also suggest broader applications in environmental studies and resource management.

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Publication Details

Journal
First Break
Published
2024-09-01
DOI
https://doi.org/10.3997/1365-2397.fb2024073
Citations
1
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.34
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article

Advanced Agent-Based Modelling of Subsurface Migration and Accumulation Dynamics of Hydrocarbons

Roderick Perez Altamar
1 citations
First Break
Reservoir Engineering and Simulation Methods
0.34
article

Advanced Agent-Based Modelling of Subsurface Migration and Accumulation Dynamics of Hydrocarbons

Roderick Perez Altamar
article en
1 citations

Abstract

Advanced agent-based modeling (ABM) has been employed to simulate hydrocarbon migration and accumulation within diverse geological environments, providing a detailed representation of these subsurface processes. By treating hydrocarbon molecules as autonomous agents, the model captures the intricate interactions within digital subsurface environments, including sandstone, silt, and shale facies. The approach uncovers how geological traps, such as anticline formations and faulted structures, influence hydrocarbon accumulation, revealing patterns previously challenging to model with conventional methods. Additionally, the research addresses scaling challenges in ABM, offering insights into solutions like parallel computing. The findings not only advance petroleum geoscience but also suggest broader applications in environmental studies and resource management.

First BreakVol. 42(9)
OMV (Austria) (AT)
Openalex Percentile: Top 42%
Reservoir Engineering and Simulation Methods
0.34
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