Bibliographic record
Abstract
Modelling a Double Piston Pump Oscar Becerra; Oscar Becerra PDVSA Intevep Search for other works by this author on: This Site Google Scholar Jose Gamboa; Jose Gamboa PDVSA Intevep Search for other works by this author on: This Site Google Scholar Frank Kenyery Frank Kenyery Universidad Simon Bolivar Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference, Calgary, Alberta, Canada, November 2002. Paper Number: SPE-78997-MS https://doi.org/10.2118/78997-MS Published: November 04 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Becerra, Oscar, Gamboa, Jose, and Frank Kenyery. "Modelling a Double Piston Pump." Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference, Calgary, Alberta, Canada, November 2002. doi: https://doi.org/10.2118/78997-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 International Thermal Operations and Heavy Oil Symposium Search Advanced Search AbstractThe idea of using serial arrangements of sucker rod pumps to efficiently produce heavy oil wells with high gas to oil ratio has been analyzed in Venezuela since 1996. However, models to calculate the dimensions of the required plungers have not been presented in previous literature. An analytical model is presented in this work, based on the geometry of the pumps and the properties of the fluids to be handled. This model was validated using experimental data acquired in a reduced scale test bench, where machine oil and air were used as pumped fluids. A good performance of the dynamic model predicting dina-graphic card was observed. It was also found that the static model was useful for determining the application window of any arrangement. At the same time, a poor performance of the flow model through valves was observed due to the simplifications assumed on the model of the process.IntroductionSucker rod pumping is the oldest and most common artificial lift method in the world. Due to its simplicity and robustness, it can be applied to almost any well that needs a lifting system. Nevertheless, there are some physical limits for its practical application, such as depth and flow rate.For conventional sucker rod pumps, the larger the gas void fraction at the pump intake, the larger the pump and surface components required to handle the large volumetric rates and pumping loads.In Venezuela 80 % of heavy oil wells are lifted through sucker rod pumping systems. In most of the cases, reservoir depletion has lead to extremely low downhole pressures, which combined with the low efficiency of downhole gas separation at high viscosity conditions causes an important negative effect on the volumetric efficiency of sucker rod pumps. One of the proposed solutions to improve the performance of the lift system consists on the use of a serial arrangement of two pumps with different capacities. The first higher capacity pump will compress the gas trough out a low pressure increment, then the second pump with lower volumetric capacity will increase the pressure to reach the discharge pressure. This arrangement can increase the flow capacity of the system without a significant load increase, as long as the corespondent pump volumetric capacities are correctly adapted to well conditions.Since no information about mechanistic models or experimental experiences were found in the literature, a formal study to develop a model to simulate and design this kind of systems was conducted.General Description of the systemA brief description of the main components of 2-stage pumps will be presented in this section. Keywords: valve, artificial intelligence, volumetric factor, arrangement, volumetric efficiency, deviation, chamber pressure, pressure drop, eseg, equation Subjects: Artificial Lift Systems, Beam and related pumping techniques This content is only available via PDF. 2002. SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference You can access this article if you purchase or spend a download.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".