A preliminary analysis of natural CO2-saturated gas sands distribution in the Gemah Field-Jabung Block, South Sumatra Basin, Indonesia, by using simple seismic attributes
Bibliographic record
Abstract
Abstract The discovery of CO2-saturated gas in sandstone reservoirs of the Lower Talang Akar Formation (LTAF) in the Jabung Block of South Sumatra Basin is a significant exploration risk that affects development plans. Gemah Field is one of the fields that produces CO2-saturated gas in the area. The field has several oil rims that can be optimized for production by using carbon capture, utilization, and storage (CCUS) enhanced oil recovery (EOR). This paper discusses a preliminary analysis of the natural CO2-saturated gas sands distribution in the FS3 interval of Gemah Field by using simple seismic attributes. The results can be used for guiding the feasibility analysis of CCUS-EOR implementation and mitigation of drilling risk of subsequent developments wells. Poststack seismic attributes and inversion analysis were performed and constrained by data from 64 wells in the FS3 interval. Although these two methods give similar distribution of sandstone reservoirs, this study finds that the sum of negative amplitude (SNA) attribute is better because there is a linear relationship between SNA with sand thickness and CO2 saturation. High CO2 saturation gas reservoir zones are observed along the highly faulted areas. CO2 saturation decreases away from the faulted areas and follows the northeast–southwest direction of reservoir deposition. The identified high CO2 regions can be considered as zones of potential CO2 sources for CCUS-EOR. The low CO2 areas are a potential location for a subsequent drilling well to obtain cleaner gas reservoirs with low CO2 saturation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".