Chemical Prevention of Corrosion-Induced Premature Well Failures Using a Novel Lubricity Mitigation Strategy
Notice bibliographique
Résumé
Abstract The sucker rod systems and tubing strings play a crucial role in the mechanical oil recovery process; their stability and reliability are desirable factors in optimizing oil production from a well. Although durable, these metallic downhole tools and equipment can experience failure during oil recovery. These failures usually stem from accumulated fatigue induced by corrosion or associated mechanisms. The dilapidation of these costly crucial pumping components often leads to expensive downtimes, lost production, and unnecessary maintenance costs, which can all be exacerbated by frequent failures. While such downhole equipment failures have traditionally and simplistically been prevented using conventional corrosion inhibitors, this approach has proved ineffective in high-failure frequency wells, instigating the use of ancillary production chemicals to address other issues that are symptomatic of observed corrosion mechanisms. It is imperative to develop a mitigation strategy to extend the run life of wells and occlude premature downhole equipment failures, thereby providing increased production time and cost savings for production companies. This paper presents a field-proven methodology that was used to extend the run life of high-failure frequency wells in the Western Canadian Sedimentary Basin (WCSB), involving the continuous application of lubricious corrosion inhibitors. The corrosion inhibitors’ Coefficient of Friction (CoF) was quantified using the Bruker UMT tribology tester. This bifurcate study focuses on two major aspects: a root cause analysis of the high-frequency failures and the corresponding chemical mitigation strategy to address these rampant failures. The scientific root cause analysis showed that wellbore configuration has a substantial and consistent effect on downhole equipment failures and hints at the inimical role of friction in inducing rampant failures, prompting the need to incorporate lubricity in the chemical mitigation strategy, especially for complex directional wells. This successful approach has been implemented in over 3000 wells and has eliminated frequent pumping component failures and extended the run-life of wells in some cases from about three months to up to three years in the Western Canadian Sedimentary Basin (WCSB), resulting in up to $250,000.00 in cost savings on each well from reduced production chemicals usage and lower well-servicing costs. The results from this data-backed study provide a more validated rationale and mitigation approach to dealing with premature well failures. This paper showcases and elucidates an economical and pragmatic chemical mitigation strategy to address frequent well failures and optimize oil production while providing operational recommendations during drilling that are key to improving a well's long-term productivity.
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».