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Record W4234901705 · doi:10.2118/2007-117

An Integrated Sand Cleanout System by Employing Jet Pumps

2007· article· en· W4234901705 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCanadian International Petroleum Conference · 2007
Typearticle
Languageen
FieldEngineering
TopicCoal Combustion and Slurry Processing
Canadian institutionsPetroleum Technology Research CentreUniversity of Regina
FundersPetroChina Company Limited
KeywordsJet (fluid)Computer scienceEngineeringAerospace engineering

Abstract

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Abstract Sand cleanout is operated by circulating a liquid or a multi-phase fluid into the wellbore to bring the sand particles to the surface. Although the sand cleanout operations have been applied successfully in most wells with high efficiency and negligible leakage, failure of effective sand removal always occurs in low pressure wells and absorption wells due to heavy loss of circulation. To make the matter worse, solids in the bottomhole may even flow back into the formation to cause further formation damage around the wellbore. In this paper, an integrated sand cleanout system has been developed to effectively remove loose sand particles in low pressure wells and absorption wells by employing a jet pump. More specifically, a high-pressure working fluid is pumped through the annulus from the surface and then divided into two parts. One part of the fluid is diverted as the sand carrier fluid to flow downwards, stir up the sand particles via a jetting nozzle at the bottom of a sand cleanout pipe, bring the loose sand particles upwards and then to be boosted by using a jet pump. The other part of the fluid acts as the power fluid of the jet pump to reduce the bottomhole pressure so that the carrier fluid together with the sand particles will be sucked into the pump and then lifted to the surface. Detailed structure and principle of the integrated sand cleanout system are described, while a theoretical model is formulated to optimally design the system based on the experiment data and jet pumping theory. It has been shown from field applications that the integrated sand cleanout system makes significant improvement in achieving high efficiency and preventing leakage in low pressure wells and absorption wells. Introduction Increasing interests and efforts have been focused on sand cleanout in the upstream oil and gas industry since 1960s[1]. Although 60% of the oil and gas reserves are discovered in carbonate reservoirs, approximately 90% of the world's oil and gas wells are drilled in sandstone reservoirs, among which 25 to 35% of the wells experience certain degree of sand production during the life of the well[2]. In principle, sand particles are dragged by the formation fluids, carried out from the formation and settled down at the bottom of the well. By the time the casing is full of the sedimentary solids, the pay zone becomes plugged and the downhole pump gets stuck, workover activities have to be carried out for reviving the well back into production[3]. Frequently, wellbore fill removal is considered inadequate, leaving large quantities of fill material (e.g., sand particles) in the well, which often requires repeating well cleanouts in a relatively short time interval. In addition, wellbore cleanouts are extremely time-consuming, preventing timely return of wells to production and increasing the cost of well maintenance[4].

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.232
Teacher spread0.218 · 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