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Record W2047232744 · doi:10.2118/03-06-03

Hydrocyclone Field Tests for Removal of Sand From Production Wells in South Oman

2003· article· en· W2047232744 on OpenAlexaboutno aff
P.M. Hagemeijer, S. Jagernath

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2003
Typearticle
Languageen
FieldEngineering
TopicCyclone Separators and Fluid Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHydrocyclonePetroleum engineeringEnvironmental scienceProductivityNatural gas fieldDifferential pressurePetroleumSteam injectionGeologyEngineeringWaste managementNatural gasMechanics

Abstract

fetched live from OpenAlex

Abstract Petroleum Development Oman is developing a major oil field, Haima West, to increase production levels using a new production technology not previously applied in Oman. The wells will co-produce large quantities of sand to improve productivity. The sand needs to be separated from the well fluids at the surface to protect the integrity of the production facility. No sand separation technology has been tested elsewhere in operating conditions comparable to Haima West. This paper describes the results of field tests performed on a hydrocyclone, processing the high viscosity multiphase fluid. The objectives of the tests were to evaluate the sand separation performance and determine the capacity for the Haima West conditions. In total, 100 tests were conducted and the main findings were:At very low GLR (< 5 Std.m3/m3) the differential pressure should be at least 200 kPa to obtain recoveries of over 80% at a feed particle size of 200 micron (d80 = 200 micron).The recovery was improved in a step change when free water, in excess of 20% of the crude flow, was added.Gas reduces the gross handling capacity for a given pressure differential over the hydrocyclone.Gas, particularly at low differential pressures (< 200 kPa), has a beneficial effect on the separation performance. To the authors' knowledge, this is the first time that such complex tests have been undertaken in the field. The impact of gas and free water on the separation performance have not previously been observed and documented. Introduction Petroleum Development Oman has recently started the redevelopment of a major oil producing reservoir, "Haima West," in South Oman(1). This development utilizes horizontal wells, with artificial lift, in which co-production of sand is a key element. The chosen well completion, without application of downhole sand control, is new in Oman but Canada's heavy oil industry(2) has benefited from co-production of sand. Initial production rates (per unit well length) for Haima West wells without sand control were demonstrated to be three times more, compared to wells with sand control(1). The economics of this development are extremely attractive. Production of large quantities of sand has a definite impact on the integrity of the sub surface and surface facilities. Loss of integrity can manifest itself as a safety or environmental risk as well as causing production deferments. The effects of sand production on a facility's integrity as well as the application of surface sand removal equipment are relatively new areas in the oil and gas industry. This article reviews the application of hydrocyclones for sand removal in Haima West. In particular, it reports the results of field tests to determine the relationships of the separation efficiency and hydrocyclone capacity to various operating parameters. Review of Previous Work Hydrocyclones have been operated in the field for many years; References (3) to (6) provide a comprehensive and qualitative overview of the application of this technology. In the following, a synopsis of this previous work is discussed in relation to the Haima West conditions.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.197
Teacher spread0.191 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations7
Published2003
Admission routes1
Has abstractyes

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