Simple Thermal Efficiency Parameter as an Economic Indicator for SAGD Performance
Bibliographic record
Abstract
Simple Thermal Efficiency Parameter as an Economic Indicator for SAGD Performance H. Shin; H. Shin U. of Alberta Search for other works by this author on: This Site Google Scholar M. Polikar M. Polikar U. of Alberta Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Hydrocarbon Economics and Evaluation Symposium, Dallas, Texas, April 2005. Paper Number: SPE-94630-MS https://doi.org/10.2118/94630-MS Published: April 03 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Shin, H., and M. Polikar. "Simple Thermal Efficiency Parameter as an Economic Indicator for SAGD Performance." Paper presented at the SPE Hydrocarbon Economics and Evaluation Symposium, Dallas, Texas, April 2005. doi: https://doi.org/10.2118/94630-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Hydrocarbon Economics and Evaluation Symposium Search Advanced Search AbstractA new economic indicator, called simple thermal efficiency parameter (STEP), was developed to evaluate the performance of a SAGD project. STEP is based on CSOR, CDOR and RF for the time corresponding to SOR = 4.STEP was found to be a useful quantitative economic criterion, with a value of 1 for an economic case (CSOR of 3, CDOR of 0.111 m[3]/d/m of horizontal well length and RF of 0.5).To validate this new economic indicator, STEP was calculated based on data from two published studies in which SAGD related simulations were performed. The first study, which provides no economic parameters, shows that most of the optimal cases always have the highest STEP values. The second study, which provides economic parameters (ROR and NPV), shows a good linear relationship between ROR and STEP. STEP is greater than 2 in the case of the economic SAGD scenarios.This study has validated the usefulness of STEP as an economic indicator.STEP can be used as a financial metric quantitatively as well as qualitatively for this type of thermal project.IntroductionThe economics of a SAGD project are related to several production performance parameters. The most significant of those are steam-oil ratio (SOR), calendar day oil rate (CDOR), ultimate recovery (recovery factor, RF), and project life.Simulation studies of the SAGD process have tested the conditions to achieve the lowest cumulative steam-oil ratio (CSOR), highest RF and highest CDOR in order to obtain optimal operating conditions.In a previous study (1), a new simple economic parameter, was introduced to optimize SAGD operating conditions for Athabasca, Cold Lake, and Peace River type reservoirs in the Alberta oil sands. Four operating conditions were optimized for the SAGD process.In this study, this economic indicator, STEP (simple thermal efficiency parameter), was modified to evaluate the performance of a SAGD project under optimized operating conditions and selected reservoir parameters.STEP has been used to evaluate the SAGD performance as a quantitative as well as a qualitative economic indicator.For validating this new economic indicator, STEP calculations have been conducted with the data from two published studies (2, 3) in which SAGD related simulations were performed. The first example (2) provides no economic parameters, whereas the second one (3) provides economic parameters (ROR and NPV). In addition, STEP was used for optimizing the SAGD performance in the three typical Alberta oil sands reservoirs.STEP as a quantitative economic criterionThe SAGD simulations described in this study have been optimized to have the lowest CSOR, highest RF and highest CDOR, which results in the optimal operating conditions.However, there are cases which have low CSOR and low RF or CDOR. In such cases, it is difficult to optimize operating conditions without an economic parameter such as NPV or ROR.STEP was initially introduced to evaluate the performance of a SAGD project under optimized conditions. It was proposed as a simple economic indicator during the SAGD optimizing procedure instead of NPV (1). Keywords: sagd process, reservoir permeability, economic indicator, sagd performance, reservoir parameter, permeability, npv, upstream oil & gas, simulation result, thickness Subjects: Improved and Enhanced Recovery, Thermal methods This content is only available via PDF. 2005. Society of Petroleum Engineers You can access this article if you purchase or spend a download.
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 | 0.001 | 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".