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Record W2033602828 · doi:10.2118/1106-0076-jpt

Combining Plunger Lift and Gas Injection in Low-Rate Gas Wells

2006· article· en· W2033602828 on OpenAlexaboutno aff
Karen Bybee

Bibliographic record

VenueJournal of Petroleum Technology · 2006
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPlungerGas liftPetroleum engineeringLift (data mining)Natural gasArtificial liftNatural gas fieldFossil fuelEnvironmental scienceGeologyEngineeringMechanical engineeringComputer scienceWaste management

Abstract

fetched live from OpenAlex

This article, written by Assistant Technology Editor Karen Bybee, contains highlights of paper SPE 100590, "The Tools, Techniques, and Advantages Involved in Combining Compression and Plunger Lift in Low-Rate Gas Wells," by R.A. Schmitz, SPE, and G.D. Steele, SPE, VaporTech Energy Services Inc., prepared for the 2006 SPE Gas Technology Symposium, Calgary, 15–17 May. Plunger lift and gas injection are two common methods used in gas wells to unload liquids. As the productivity of gas wells in the western Canadian sedimentary basin continues to decline, these methods used alone are no longer sufficient for many wells. Combining plunger lift with gas injection by use of newly developed and innovative tools and techniques can provide a solution for many low-rate gas wells that otherwise could not be cost-effectively produced. Introduction The maturing of the western Canadian sedimentary basin and the decline in average gas-well production rates, combined with strong demand and high commodity prices for natural gas, has led to a need to find ways to produce gas wells at lower and lower rates before they are shut in and abandoned. As a result, tools and techniques to remove liquids from these gas wells have become increasingly important. Both plunger lift and gas injection are techniques that have been used for many years to remove liquids from gas wells. Although there are several synergistic effects that occur when plunger lift and compression are combined, there also are a number of operational issues that make it challenging to combine the two technologies. Liquid Loading Liquid loading in a gas well is caused by the inability of the produced gas to remove the produced liquids from the wellbore. The point at which liquid loading will begin to occur in a producing well can be estimated by calculating the critical gas velocity, which can be translated into a critical gas flow rate. Various methods are available to estimate the critical gas flow rate, but the most important variables that determine the critical gas flow rate are gas production rate, inside diameter of the tubulars through which the gas is flowing, and the pressure and temperature of the gas. If the produced gas is flowing at a rate less than the critical rate at any point in the wellbore, liquid loading will occur. The produced liquid will start to accumulate in the wellbore, which often leads to erratic slugging flow and to decreased production. Eventually, the liquid buildup will cause the well to cease production entirely. Plunger Lift Fig. 1 shows a basic plunger-lift system. The primary function of the plunger is to provide a semisealing interface between the gas and the liquid, enabling the gas to lift the plunger along with a slug of liquid. The gas flow rate required for a plunger-lift system to function effectively depends on many of the same factors as the critical rate, but it also is affected by other factors such as the amount of liquid produced, the depth of the well, and the sealing efficiency of the plunger. As a result, prediction of gas-well performance with plunger lift is not an exact science.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score0.468

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.003
GPT teacher head0.189
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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