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Record W4231539233 · doi:10.2523/69848-ms

Application of Advanced Heavy-Oil-Production Technologies in the Orinoco Heavy-Oil-Belt, Venezuela

2001· article· en· W4231539233 on OpenAlexaff
Robles Jorge

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsCitationEmerging technologiesPetroleumOil productionComputer scienceLibrary scienceEnvironmental sciencePetroleum engineeringEngineeringGeologyArtificial intelligence

Abstract

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Application of Advanced Heavy-Oil-Production Technologies in the Orinoco Heavy-Oil-Belt, Venezuela Jorge Robles Jorge Robles Petrozuata, C.A. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Porlamar, Margarita Island, Venezuela, March 2001. Paper Number: SPE-69848-MS https://doi.org/10.2118/69848-MS Published: March 12 2001 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Robles, Jorge. "Application of Advanced Heavy-Oil-Production Technologies in the Orinoco Heavy-Oil-Belt, Venezuela." Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Porlamar, Margarita Island, Venezuela, March 2001. doi: https://doi.org/10.2118/69848-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 successful application of state of the art drilling technologies such as horizontal and multilateral wells for the development of Zuata field in the Orinoco Belt demands improvements in the areas of artificial lift, fluid gathering and fluid treatment. The economic production of wells with initial potentials beyond 3,000 nbpd challenges both equipment and process.This paper summarizes the latest experiences of Petrozuata C.A. in the Zuata field in the use of electric submersible pumps, and progressive cavity pumps, as well as the application of state of the art instrumentation for monitoring of production parameters.IntroductionPetrozuata C.A. is a strategic association between Conoco Inc. (50.1 %) and Petróleos de Venezuela S.A. (PDVSA, 49.9%). Its main objective is to integrate downstream, upstream, pipeline and marine operations in order to process 120,000 bpd of extra heavy crude to produce about 102,000 bpd of synthetic crude for 35 years. The strategy chosen for this development is cold production through multilateral horizontal wells drilled from clusters, combined with the use of diluent for lift and transport purposes. Petrozuata initially used Mesa-30 oil as diluent. This will be changed to Naphtha when the upgrader starts to operate. In the current scheme the Mesa-30 blend is exported. Once the upgrader operations begin, a distillation tower will recover the Naphtha, which will be sent back to Zuata field through a pipeline. Figure 1 shows field location and pad distribution, including existing and future installations.Petrozuata has approximately 110 producing wells with a total production of 100,000 barrels of extra heavy crude oil per day. Figure 2 illustrates the field production over time. Petrozuata expects to reach 120,000 bpd of extra heavy oil at the end of year 2000. The diluent change over (from Mesa 30 to Naphtha) is planned for the 4th quarter 2000.Reservoir CharacteristicsThe Oficina Formation was deposited during the Miocene, when sedimentation took place from south to north over the southern flank of the Eastern Venezuela Basin, near the Guayana Shield. Zuata is one of the three major prograding/aggrading depositional pulses identified within the Orinoco Belt. This channel depositional system created a complex reservoir architecture, as younger fluvial systems down-cut, erode and re-distribute sediments from earlier-deposited fluvial systems. Table 1 summarizes Reservoir characteristics.Well DescriptionDue to the complexity of the reservoir and as a result of a continuous effort to improve the efficiency to contact the oil in place, well geometry varies from single horizontal wells to very complicated multi-lateral arrangements, including dual gull wings, stacked dual and triple laterals, and combinations of all these with the addition of fishbones, as illustrated in Figure 3.The production-casing diameter is 9 5/8", with tangent sections at 75° to 87° from vertical. Typically the pump tangent section is placed above the upper lateral window.As shown in the previous figures, the final completion typically uses 7 inch slotted liner in the horizontal section.Well Potential Assessment and Lift Selection StrategyPetrozuata uses a correlation derived from core data and based on resistivity logs to estimate permeability of the different zones. Based on the flow capacity (permeability x length) and other geometrical restrictions the lifting method is selected and the system is sized. (See Figure 4)Petrozuata initially targets drawing down wells to 250 psi of Pump Intake Pressure (PIP). In some multilateral wells the initial productivity is so high that even at 3,000 bpd the PIP remains high for several months. Keywords: petrozuata, orinoco heavy oil belt, drilling operation, pip, venezuela jorge roble petrozuata, pump intake pressure, spe 69848, upstream oil & gas, application, completion Subjects: Drilling Operations, Artificial Lift Systems, Directional drilling This content is only available via PDF. 2001. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.972
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.009
GPT teacher head0.239
Teacher spread0.229 · 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 designOther design
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".

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Citations3
Published2001
Admission routes1
Has abstractyes

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