Potential for CO2 plume geothermal and CO2 storage in an onshore Red Sea Rift basin, Al-Wajj, Saudi Arabia: 3D reservoir modeling and simulations
Bibliographic record
Abstract
Using supercritical CO2 instead of water for geothermal energy extraction offers advantages while enabling CO2 sequestration. The integration of CO2 capture, utilization, and storage (CCUS) in geothermal reservoirs aligns with circular carbon economy models and supports the goals of sustainable energy development. The geothermal potential of deep saline aquifers, like in the young and high-heat-flux Red Sea rift basins of western Saudi Arabia, holds promise for geothermal heat extraction and CO2 storage. However, quantitatively assessing the geothermal and carbon storage potential requires a comprehensive characterization of physical parameters specific to the target aquifer units. This study presents a detailed 3D reservoir modeling of a sedimentary basin example (Al-Wajj basin) in Western Saudi Arabia developed using advanced geostatistical techniques and a state-of-the-art CO2 fluid flow simulator. We constrain physical parameters and provide estimates of the target aquifers’ recoverable geothermal energy and CO2 storage capacity. We develop a 3D trend model that arranges the spatial changes in the high permeable sandstone volume distribution and we obtain the weighted average of sandstone percentage in the model area. We build the geostatistical model using multiple-point statistics simulations with a training image that represents spatial dependence of facies changes of submarine channels in a syn-rift clastic system along the target basin with respect to slope distance. For a 10% heat recovery threshold, our simulation results indicate above 41% permeable sandstone volume is necessary. Our reservoir simulation results further indicate the potential to produce 790 TWh of geothermal energy in a 40-year injection–production scenario and to store 76.5 Giga-tonnes of CO2 in the Burqan and Umluj units of the Al-Wajj basin. Our simulation includes a modified fluid model of CO2 solubility in brine, that is capable of explicitly representing the heat exchange and flow characteristics of both dissolved CO2 and supercritical CO2 within the reservoir, unveiling a close connection between the heat recovery process and the movement of the cold, dissolved CO2 within the formation brine. Our study thus contributes to understanding geostatistical reservoir modeling, for geothermal reservoirs, particularly for syn-rift submarine clastic systems. It also provides valuable insights into the heat recovery mechanisms in CO2 plume geothermal (CPG) systems. Overall, this study offers a stepping stone toward the sustainable harnessing of geothermal energy recovery and CO2 storage to reduce carbon emissions in the energy sector.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".