Abstract
“Athran” field is an active field for hydrocarbon exploration with trending northeast-southwest and focus on the reservoir zone is the Talang Akar Formation with A-C layer intervals. The method used in this research is electrofacies, delta deposition system, formation evaluation, static reservoir modeling, and multi-attribute linear regression. The distribution of reservoir modeling is done by using the stochastic variogram method to make modeling lithofacies and depositional facies. Identification of lithofacies in the study area obtained two units, namely sandstone and shale facies. The depositional facies analysis was carried out using the electrofacies approach, showing that the research target was in a transitional environment with a delta deposition system, namely the distributary channel, delta front and prodelta. The deposition process. Sandstones and shales affect the distribution of porosity which functions as a reservoir property. The data integration of the distribution of lithofacies, gamma ray and porosity was carried out using the multi-attribute linear regression method to predict data both vertically and horizontally. The results of this study are used to help determine the distribution direction and direction of sediment deposition as a good reservoir zone for exploration activities.
Highlights
The biggest challenge in oil & gas companies is to find the right reservoir in a formation in an exploration field, especially if the target formation used as the research area has a very thin layer character
To determine the best seismic method to identify the A-C target reservoir layer in this formation, the researchers used a combination of static reservoir modeling methods and multi-attribute methods to identify the distribution of the predicted values for reservoir porosity and lithology
The facies deposition of the research area occurs in a transitional environment with a delta deposition system
Summary
The biggest challenge in oil & gas companies is to find the right reservoir in a formation in an exploration field, especially if the target formation used as the research area has a very thin layer character. To determine the best seismic method to identify the A-C target reservoir layer in this formation, the researchers used a combination of static reservoir modeling methods and multi-attribute methods to identify the distribution of the predicted values for reservoir porosity and lithology. The variogram shows how far a parameter will affect the estimated value or the difference with the distance [1]. There are three directional components used to explain the relationship between data in variogram analysis, namely major, minor and vertical directions. The major direction shows the longest distance representing the horizontal plane and serves to predict the lateral distribution of data according to the interpretation of the reservoir interval sedimentation direction. It can be seen that the direction of sedimentation (major) is northeastsouthwest This is consistent with the results of previous stratigraphic correlations. After the variogram analysis was carried out, based on these data, facies and porosity modeling was made
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