Experimental investigation and techno-economic assessment of oilfield brine-derived carbonates for calcium looping CO2 capture
Bibliographic record
Abstract
Flowback and produced water (FPW) from hydraulic fracturing operations of tight hydrocarbon reservoirs has attracted significant research interest, particularly regarding its treatment and the recovery of valuable minerals. In this study, a simple and sustainable method was developed to precipitate calcium (Ca), magnesium (Mg), and strontium (Sr) carbonates from a high salinity FPW using NH 3 or NaOH and CO 2 -containing flue gas. The precipitated solids and the treated FPW solution were subjected to various characterization techniques to evaluate the properties of the solids and the efficiency of the precipitation method. The precipitated carbonate minerals were further investigated as sorbents for CO 2 capture in the calcium looping process, demonstrating a substantial carbon capture capacity of approximately 0.3 kg CO 2 /kg solid sample. Moreover, a series of detailed process simulations and economic analysis were performed to further evaluate the potential of using solid precipitates from FPW in the calcium looping process. Two different operating modes and multiple cases of calcium looping using solid sorbents from FPW, integrated with renewable energy, were thoroughly studied. The economic analysis of this integrated technology showed a relatively comparable levelized cost of carbon capture, at less than $200 per tonne of CO 2 captured. The techno-economic analysis of the overall process demonstrated the potential of the calcium looping process with carbonate precipitates from produced water as a possible approach for decarbonization and energy transition in the oil and gas industry.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".