Bibliographic record
Abstract
New Economic Indicator to Evaluate SAGD Performance Hyundon Shin; Hyundon Shin Search for other works by this author on: This Site Google Scholar Marcel Polikar Marcel Polikar U. of Alberta Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Western Regional Meeting, Irvine, California, March 2005. Paper Number: SPE-94024-MS https://doi.org/10.2118/94024-MS Published: March 30 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Shin, Hyundon, and Marcel Polikar. "New Economic Indicator to Evaluate SAGD Performance." Paper presented at the SPE Western Regional Meeting, Irvine, California, March 2005. doi: https://doi.org/10.2118/94024-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 Western Regional Meeting Search Advanced Search AbstractThe steam-assisted gravity drainage (SAGD) process simulations described in this study have been optimized to have the lowest cumulative steam-oil ratio (CSOR), highest RF and highest CDOR in order to obtain optimal operation conditions. In addition, net present value (NPV) calculations were performed for each simulation case to take the time factor into account.A simple thermal efficiency parameter (STEP), based on CSOR, CDOR and RF for the time corresponding to SOR = 4, was developed to evaluate the performance of a SAGD project under optimized conditions. A linear relationship was found to exist between STEP and NPV, with a correlation coefficient in excess of 0.96 for most of the cases studied. For each simulation case, highest values of NPV and STEP indicated optimum SAGD operating conditions.IntroductionThe steam-assisted gravity drainage (SAGD) process has been tested in the field and has proven to be an effective recovery method with more than 50% recovery efficiency in the Alberta oil sands (Athabasca, Cold Lake and Peace River deposits).Before a SAGD project is implemented in the field, a sensitivity analysis is usually required for optimizing the SAGD operating conditions: pre-heating period, steam injection pressure, steam injection rate and injector to producer spacing (I/P spacing). The economics of a SAGD project are related to several production performance parameters.The most significant of those are steam-oil ratio (SOR), ultimate recovery (recovery factor RF), calendar day oil rate (CDOR), and project life. Our main goal is to maximize oil production with the least amount of steam and in the shortest time.There is very little research regarding an economic indicator for thermal recovery. Kisman and Ruitenbeek1 introduced a performance indicator for thermal recovery. They developed a model for the economic and performance evaluation of thermal recovery projects including steam stimulation, steam drive and combustion processes.In this research, a new simple economic parameter, named STEP (simple thermal efficiency parameter), was introduced to optimize SAGD operating conditions for Athabasca, Cold Lake, and Peace River type reservoirs. Four operating conditions were optimized for the SAGD process. They are:preheating period, I/P spacing, steam injection pressure, and steam injection rate.The net present value (NPV) of each case is first calculated for optimized SAGD performance. Then, STEP is calculated from three performance parameters: CSOR, CDOR, and RF.Finally, STEP is correlated with NPV for each optimized case.Development of new economic indicatorThe SAGD simulations described in this study have been optimized to have the lowest cumulative steam-oil ratio (CSOR), highest RF and highest CDOR in order to obtain optimal operating conditions.If a case has the lowest CSOR and the highest CDOR and RF, this gives the optimal operating conditions. However, there are cases which have low CSOR and low RF or CDOR. In this case, it is difficult to optimize operating conditions without an economic parameter such as NPV or rate of return.STEP was introduced and developed for being used as a simple economic indicator during the SAGD optimizing procedure instead of NPV.In this study, the economic calculations assume that a project is cost-effective as long as the instantaneous SOR is below a value of 4.Capital costs have not been taken into account, assuming that these are similar for all the cases studied because the same well configurations and development plan are considered. NPV calculations only considered the cost of steam ($5/bbl) and price of bitumen ($20/bbl), at a 10% discount rate. Keywords: npv, injection rate, correlation coefficient, steam injection rate, river type reservoir, steam-assisted gravity drainage, csor, reservoir, thermal method, cdor Subjects: Improved and Enhanced Recovery, Thermal methods This content is only available via PDF. 2005. 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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 | 0.000 |
| 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".