Estimating Gas Decline-Exponent Before Decline-Curve Analysis
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Bibliographic record
Abstract
Estimating Gas Decline-Exponent Before Decline-Curve Analysis Her-Yuan Chen; Her-Yuan Chen New Mexico Tech Search for other works by this author on: This Site Google Scholar Lawrence W. Teufel Lawrence W. Teufel New Mexico Tech Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Gas Technology Symposium, Calgary, Alberta, Canada, April 2002. Paper Number: SPE-75693-MS https://doi.org/10.2118/75693-MS Published: April 30 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Chen, Her-Yuan, and Lawrence W. Teufel. "Estimating Gas Decline-Exponent Before Decline-Curve Analysis." Paper presented at the SPE Gas Technology Symposium, Calgary, Alberta, Canada, April 2002. doi: https://doi.org/10.2118/75693-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 Unconventional Resources Conference / Gas Technology Symposium Search Advanced Search Abstract This paper presents simple and practical equations to estimate a priori the decline-exponent for decline-curve analysis of gas wells. The proposed equations are applicable for gas wells with closed boundaries and constant rock properties. Data required includes initial reservoir pressure, bottomhole flowing pressure, and fluid properties. These data are that required in a typical decline-curve analysis (i.e., no extra data is required). A field example is presented to verify the developed concept and to demonstrate the utility. Keywords: reserves evaluation, compressibility, instantaneous decline rate, reservoir pressure, drillstem/well testing, estimates of resource in place, decline exponent, wf 0, gas well, instantaneous decline exponent Subjects: Well & Reservoir Surveillance and Monitoring, Formation Evaluation & Management, Reserves Evaluation, Drillstem/well testing, Production forecasting, Estimates of resource in place Copyright 2002, Society of Petroleum Engineers You can access this article if you purchase or spend a download.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it