Dina Cretáceos Field Chemical EOR: From Screening to Pilot Design
Bibliographic record
Abstract
Abstract Dina Cretaceous Field is located in the Upper Magdalena Valley (UMV) Basin, Colombia. Producing reservoir consist in a marine-transitional depositional environment with good sand continuity and thickness. Ecopetrol S.A operates the field. The field was discovered in 1969. Primary production peaked at 6,500 BOPD. Peripheral water injection started in 1985 reaching a maximum oil production rate of approximately 10,000 BOPD. Current recovery factor is estimated in 32% of the OOIP with water cuts of 96%. Water injection is operating under adverse mobility ratios (M > 4) due to crude oil viscosity (10.8 cp) at reservoir conditions. As a strategy to increase oil recovery an integrated study started in October 2009. Main objective of the multidisciplinary group was to evaluate different IOR/EOR technologies, select the most promising technology and identify areas of the field suitable to implement a pilot project. First phase of the study was a comprehensive evaluation of injection-production history of the field and IOR/EOR screening. Simultaneously, the team was also focused on updating the history match of the field injection-production history. The numerical model was based on a high-resolution geological model with a detailed lithological and petrophysical description. Once a reasonable history match was achieved the model was converted into a commercial platform to simulate chemical EOR processes. The analysis of injection-production history did not support strong water channeling due to the presence of thief zones. IOR/EOR screening results confirmed the feasibility of polymer-based technologies due to the adverse mobility ratios and remaining oil saturation in the reservoir. Reservoir analogs identified during the screening study, conceptual simulations and laboratory studies concluded that the injection of Colloidal Dispersion Gels (CDG) shows high potential to increase oil recoveries economically in Dina Field. A pilot area was selected ranking different options and operational constraints. Pilot project design scheduled for the last quarter of 2010 was based on a sector model of the field. This study provides guidance to effectively evaluate and implement chemical EOR technologies to revitalize mature water floods. A proper decision framing, availability of data and commitment of management and decision makers are key elements to perform EOR evaluations and implementation is short periods of time.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".