Modeling Reservoir/Tubing/Pump Interaction Identifies Best Candidates for Multiphase Pumping
Bibliographic record
Abstract
Modeling Reservoir/Tubing/Pump Interaction Identifies Best Candidates for Multiphase Pumping A.M. Martin; A.M. Martin Texas A&M University Search for other works by this author on: This Site Google Scholar S.L. Scott S.L. Scott Texas A&M University Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, September 2002. Paper Number: SPE-77500-MS https://doi.org/10.2118/77500-MS Published: September 29 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Martin, A.M., and S.L. Scott. "Modeling Reservoir/Tubing/Pump Interaction Identifies Best Candidates for Multiphase Pumping." Paper presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, September 2002. doi: https://doi.org/10.2118/77500-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 AbstractMultiphase production systems are being considered as a development option for many fields on a worldwide basis. Engineers are faced with the challenge of selecting the best candidates to take full advantage of this novel technology. A review of the literature reveals that no guidelines have yet been published regarding this issue. This paper utilizes classical reservoir engineering methods to model the interaction of a surface installed multiphase pump with the reservoir and tubing. A derivative analysis of the backpressure equation is used to show the difference in incremental production among wells with different backpressure coefficients and exponents. A method was developed which combines well deliverability and decline data to forecast the impact of a multiphase pump on reserves, i.e. ultimate recovery. The results of this study indicate that:wells exhibiting a low wellhead backpressure coefficient (n) make poor candidates for multiphase pumping;plotting the derivative of the wellhead backpressure equation provides a means of defining a threshold, which must be reached before a multiphase pump, would provide value;liquid loaded wells may yield the best response to a surface installed multiphase pump; and,reduction of the backpressure on a well, through use of a multiphase pump, acts to increase the ultimate recovery for a well or field.IntroductionMultiphase pumping has been shown to provide value in a number of different operating environments. These include heavy oil production in Venezuela,1,2,3 California4 and Italy,5 light oil production in Canada,6 Indonesia,7 and Trinidad,8 as well as gas condensate fields9 and subsea production.10 A summary of the various multiphase pumping technologies as well as a discussion of their worldwide applications was presented by Scott11 and Scott and Martin.12 All of these methods are installed on the surface to boost the pressure of the fluids produced from the wellhead. This study does not consider a particular multiphase pump technology, but rather the general method of using a multiphase pump to decrease wellhead pressure. The goal of this paper is to define methods that can be invoked to identify the best candidate wells for a reduction in wellhead pressure.This paper utilizes classical reservoir engineering methods to model the interaction of a surface installed multiphase pump with the reservoir and tubing. First, bottomhole reservoir deliverability is analyzed to identify which reservoirs will best respond to a reduction in bottomhole pressure. The derivative of the backpressure equation is used to show the difference in incremental production associated with a reduction in wellhead flowing pressure among wells with different backpressure coefficients and exponents. Next, the expression for oil well deliverability at the wellhead developed by Thrasher, Fetkovich and Scott (1995)13 is utilized to consider the effects of tubing on candidate wells. The impact of a lower wellhead pressure on liquid loaded wells and tubing limited wells is discussed. Also, a simple economic model is proposed for comparison of the costs and benefits of a multiphase pumping project. Finally, the impact of backpressure on ultimate recovery is considered. The work of Fetkovich et al (1996)14 develops the relationship between the wellhead backpressure exponent and the decline type/ultimate recovery of the reservoir. Using this approach, a method was developed which combines well deliverability and decline data to forecast the impact of a multiphase pump on reserves.System Analysis - Steady-StateThe response of a well to a reduction in wellhead pressure, through use of a multiphase pump, depends on the overall production system. This includes the reservoir, formation completion and tubulars. The steady-state response of the reservoir and completion will first be considered through bottomhole analysis. Keywords: reservoir pressure, backpressure equation, production monitoring, martin, hydraulic jet pump, recovery, reservoir, backpressure ratio, flow rate, pump interaction identify best candidate Subjects: Artificial Lift Systems, Well & Reservoir Surveillance and Monitoring, Formation Evaluation & Management, Hydraulic and jet pumps, Drillstem/well testing This content is only available via PDF. 2002. 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".