Deployment of Pressure Hit Catalogues to Optimize Multi-Stage Hydraulic Stimulation Treatments and Future Re-Fracturing Designs of Horizontal Wells in Horn River Shale Basin
Notice bibliographique
Résumé
Abstract Continuous monitoring of wellhead pressures, captured from passive wellbores on a multi-well pad during fracturing operation, has been used as a cost efficient diagnostic tool to better characterize stimulated fracture network and reservoir drainage in Horn River Shale Basin. This paper aims to generate pressure hit catalogues and to quantify their effectiveness to deliver real-time on-site improvement in completion treatments, parent/child interactions, and re-fracturing designs. Pressure data of a multi-well pad was initially analyzed to establish measurable attributes for identification of hydro-mechanic responses from direct hydraulic communications. A fully-coupled hydro-mechanical code, with explicit inclusion of discontinuities, explored the interaction mechanisms across natural and induced fractures by reproducing observed pressures of passive wells. Employing multivariate experimental design on a subset of pressure data, pressure hit catalogues were generated with notion to the sensitivity of hydro-mechanical properties of fracture/intact rock, geometrical/statistical properties of fracture network, in-situ stresses, and completion design. Using the unexploited subset of pressure data, the practicality of pressure catalogues was verified against coupled simulations. The pre-processing of pressure data, to assign attributes to pressure hits, was found essential for analysis of interference mechanisms during fracture treatments prior to incorporating the data into a coupled simulation. Explicit modeling of discrete fractures allowed to evaluate how key sensitive parameters, mainly fracture/intact rock properties, and altered stress environment due to continuous multi-stage fracturing operation, could affect passive pressure signature. Using a subset of pressure hit data obtained from a multi-well pad in Horn River Shale Basin, the calibrated coupled simulations helped to constrain the statistical complexity of fracture network realizations, which ultimately observed to closely align with available microseismic data. The efforts went into the calibration of pressure/stress shadows, using wellhead pressure data at subsequent stages, were summarized. Given the model size and dealing with too large data sets, history-matching of individual pressure hits proved to be computationally intensive. The steps to generate and employ pressure hit catalogues were also illustrated. The results obtained from application of pressure catalogues on the unexploited subset of pressure data indicated close agreement with coupled numerical simulation. A procedure in potential deployment of pressure hit catalogues for real-time modification of multi-well completion and re-fracturing design was lastly provided. Because of the inherited uncertainty associated with locating the subsurface origin of passive pressure responses, yet measured at wellhead, more robust interpretation techniques are required for a better on-site assessment of fracturing operations. The possibility of employing pressure hit catalogues for evaluation of well interference, parent-child interactions, complex structure of stimulated fractures, and reservoir drainage, is an effort in that direction, aiming to monitor, and if required, to remediate well spacing, completion treatments, and re-fracturing designs.
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Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 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 ».