Fracture Driven Interaction (FDI) Diagnostics and Modeling at a Shut-In Open-Hole-Multi-Lateral Producing Well
Notice bibliographique
Résumé
Abstract During horizontal fracturing operations adjacent shut-in producing wells are likely to experience multiple Fracture Driven Interactions (FDI's), as production and pressure communication may occur along the entire horizontal section. These contrast with more commonly used Plug and Perf (P&P) zipper fracturing operations on new well pads, where only a single observation well stage is in pressure communication with the reservoir at a time. As a result, FDI's may be infrequent on a pad of exclusively new wells. With an offsetting producing observation well, natural gas and oil fluid columns may be present in the vertical section of the wellbore. This significantly changes the FDI pressure response compared to the case where the wellbore is completely full of water. A FDI analysis modeling technique has been developed when the observation wellbore has a gas, oil and water column. The only data requirements are routine pressure and rate data at the treatment well plus surface pressure and fluid levels (or alternatively BHP) at the temporarily-shut-in observation well. No observation well conditioning is required. For the observation well, both the FDI pressure values and shape are strongly affected by compressible wellbore fluids and the conductivity of the static fracture between the observation well and the dynamic fracture growing from the treating well. This project shows the value of combining surface pressure gauge data with fluid level shots to pre-calculate the wellbore storage coefficient and the cumulative fluid entering the observation well as a function of time. Surface pressure combined with fluid level data is therefore superior to bottom hole pressure data alone. Knowledge of cumulative fluid influx into the wellbore puts additional constraints on FDI modeling work. The shut-in observation well pressure response is analogous to a closed-chamber test. The closed-chamber model includes the effects of wellbore storage, skin, and the possible pre-existing finite conductivity static fracture (black line in Figure 1). The treatment well's dynamic fracture model calculates the pressure at the contact point (or FDI Point) depending upon whether a hydraulic or poroelastic (stress shadow) model is used, as was shown in Nicholson et al. (2021). The closed chamber model then calculates the pressure at the measurement point (BHPFDI), the rate and cumulative influx at Point A of Figure 1a and 1b. An application of this new technique is presented for an Alberta East-Central Mannville oil play. A new Multi-Fractured-Horizontal (MFHZ) well produced FDI's at a shut-in Open-Hole-Multi-Lateral (OHML) well. The workflow included: A Diagnostic Fracture Injection Test (DFIT) performed to measure closure pressure and Far-field Fracture Extension Pressure (FFEP) in the treating well. Frac-Stage Pressure Fall-off Analyses for comparison of net pressure measurements for full-scale fracturing stage rates, volumes and fluid viscosity to the DFIT. Fracture Driven Interaction (FDI) modeling with the closed chamber add-on for determining the hydraulic fracture dimensions including length and height. With a modest amount of planning and data collection oversight, observation well pressure and fluid levels can provide fracture height, length and perforation cluster efficiency (where applicable) comparable to higher cost diagnostic technologies such as microseismic monitoring, fibre-optics, or down hole imaging.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, pas un consensus.
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