Peace River Carmon Creek Project—Optimization of Cyclic Steam StimulationThrough Experimental Design
Bibliographic record
Abstract
Peace River Carmon Creek Project C--Optimization of Cyclic Steam Stimulation Through Experimental Design Junaid Ghulam Mohiddin; Junaid Ghulam Mohiddin Shell Intl. E&P Co. Search for other works by this author on: This Site Google Scholar Paul Frantisek Koci Paul Frantisek Koci Shell Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Annual Technical Conference and Exhibition, Anaheim, California, U.S.A., November 2007. Paper Number: SPE-109826-MS https://doi.org/10.2118/109826-MS Published: November 11 2007 Connected Content Related to: Heavy Oil: Optimize Cyclic Steam Stimulation Though Experimental Design Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Mohiddin, Junaid Ghulam, and Paul Frantisek Koci. "Peace River Carmon Creek Project C--Optimization of Cyclic Steam Stimulation Through Experimental Design." Paper presented at the SPE Annual Technical Conference and Exhibition, Anaheim, California, U.S.A., November 2007. doi: https://doi.org/10.2118/109826-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Annual Technical Conference and Exhibition Search Advanced Search AbstractPeace River Carmon Creek is a 100% Shell owned ultra-heavy oil lease located in north-western Alberta, Canada, approximately 700 km northwest of Edmonton (Fig. 1). It holds nearly eight billion barrels of 7°API oil in place, spread over 370 km2. The Carmon Creek Project targets possibly about half of that oil for development by cyclic steam stimulation (CSS). There are growth plans for a significant increase in oil production over the next five years.The purpose of this study was to optimize CSS well configuration and steaming strategy for each distinct reservoir area by deploying previously improved and history matched simulation models1.A full field static model was built, comprising over 400 wells. More detailed static sector models were also built for each distinct geological area and translated into elements of symmetry thermal simulation models.The choice of design parameters and handling of uncertainties were addressed in a phased manner. First, the smallest possible element of symmetry simulation model and the most efficient discrete fracture realization were determined. The next phase involved optimization of the well configuration and steaming strategy for each field area (based on approximate Net Present Value, NPV). The final phase entailed uncertainty analysis for the optimized design concepts and determining P15, P50, and P85 forecasts for each area. Experimental Design and Monte Carlo simulations were applied to further reduce the runs required for each phase.Although different optimum CSS designs were determined for each geological area, the modeling results can be generalized as follows:Horizontal well near the base of the reservoir is the optimum well type for CSS at Peace River.Well spacing less than 75 meters appears more attractive in the higher reservoir quality areas compared to the current assumption of 150 meters.In summary, a series of predictive CSS simulation models, primarily for horizontal wells, have been developed. Heavily aided by experimental design, a unique phased modeling workflow was applied to optimize well design and steaming strategy. Some of the suggested design components are already being tested at Peace River.IntroductionHistorically, various thermal recovery schemes have been piloted at Peace River, including in-situ combustion, steam drive, steam foam, steam assisted gravity drainage (SAGD) and CSS.At present, CSS with injection above fracture pressure is employed to extract the oil, most recently using closely spaced multi-lateral horizontal wells drilled from a central surface pad.The CSS target is the Bluesky formation, an approximately 30 m thick semi-consolidated sand layer buried at a depth of about 600 m, characterized by a wide range of reservoir properties such as oil viscosity, vertical to horizontal permeability ratio and reservoir thickness.These varying reservoir features are expected to result in different optimum CSS well configurations and steaming strategies for each geologically unique portion of the field. The purpose of this study was to determine these optimums. Keywords: thermal method, steam-assisted gravity drainage, enhanced recovery, reservoir simulation, SAGD, Thickness, spe 109826, simulation model, reservoir property, optimization Subjects: Improved and Enhanced Recovery, Reservoir Simulation, Thermal methods This content is only available via PDF. 2007. Society of Petroleum Engineers You can access this article if you purchase or spend a download.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".