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Record W2053413178 · doi:10.2118/137428-ms

Successful Use of Managed Pressure Drilling (MPD) to Counteract Loss Circulation and HP Gas Zones: A Case Study from Red Rock South Wapiti Field in Grande Prairie, Alberta, Canada

2010· article· en· W2053413178 on OpenAlexaffabout
Hassan. K. Malik, Raymond. J. Litwin, Bernard. C. Jones

Bibliographic record

VenueCanadian Unconventional Resources and International Petroleum Conference · 2010
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsConocoPhillips (Canada)
Fundersnot available
KeywordsDrillingCasingPetroleum engineeringLost circulationDrillDrilling fluidUnderbalanced drillingCompletion (oil and gas wells)Mining engineeringDrill pipeDrilling engineeringNatural gas fieldCrewEngineeringNatural gasMechanical engineeringWaste managementAeronautics

Abstract

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Abstract Heavy Mud Weight (MW) to control HP gas and Loss Circulation zones at the same time is not something operators look forward to. COP's Red Rock field in South Wapiti, Alberta had been a victim of this combination which resulted in high operational costs primarily due to additional casing string, high MW and severe mud losses. On average, AFE's came at a minimum of 20% higher as anticipated bringing the drilling program of the area to being uneconomic. A review of MPD technology with the team created a spark to look at improving performance in the area. A number of objectives were identified for this project which were later categorized as Primary Objectives. Drill to TD with reduced mud weights (MW) in a safe manner Set the intermediate casing on top of HP gas zones utilizing wellbore strengthening Drill ahead into HP zones without any massive mud losses Bring the cost of the wells down in order to save the drilling program of the area Eliminate the Intermediate Casing for a significant cost reduction in future wells Secondary Objectives. Conduct Real Time Formation Evaluation in some formations to verify their potential Increase ROP Cement the Intermediate Casing using a single stage method Assess and evaluate the benefits of a new technology Rig crew training and changes in HSE concepts for an MPD operation A dedicated Engineering team was formed who worked on data collection, research of the area, drilling practices and well engineering. This team was supported by COP's experienced Operations team. A great deal of up front discussion and work was done in planning this project to ensure success. Several well design scenarios were looked at the very initial phase of project, out of which the best design in terms of well engineering, well control, area's known risks and HSE was chosen. During this process COP's engineering team introduced "Fountain Chart Method" which uniquely identifies operating envelope of an MPD operation using optimum mud weights From the initial design the specifications of the MPD equipment were decided upon. A meticulous work was conducted on Process Flow Diagrams (PFDs) of which Well Control was of pivotal importance. Special training was assigned to the rig crew detailing goals of the project, working of MPD equipment and communication skills in the presence of another vendor on site. The HSE alert level was heightened due to the sensitivity of the project and extra emphasis was given on safety meetings highlighting high pressure lines, communication skills and drilling with wellhead pressure on surface. Promising results were seen in a four well campaign which not only brought the cost of the wells down but also made the wells more economic. The lower cost of the wells were a result of an improved ROP in some sections and the replacement of a full intermediate string coupled with a liner with only a single production casing string from surface to TD. An added benefit is the technology helped in studying the formations at low MW which were previously masked due to heavy MWs. Utilizing Wellbore Strengthening (WBS) was also a key in establishing integrity of weaker zones up hole. This in turn, gave a better window of applying surface choke pressures using MPD auto choke system. The success of these wells has led to further implementation in the Canadian BU. As a result, a screening tool was developed for internal review of candidates/fields that may benefit from MPD, UBD or any other unconventional style of drilling (such as Air, Aerated Mud or Foam etc). A process is underway in assessing the benefits of these technologies in COP's drilling portfolio and ways are being looked at in making an effective process for implementing these sorts of high profile projects in the future

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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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score0.762

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 head0.010
GPT teacher head0.200
Teacher spread0.190 · 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 designSimulation or modeling
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

Citations6
Published2010
Admission routes2
Has abstractyes

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