A Few Lessons From Tight-Rock Producers That Have Made Big Investments in Fracture Diagnostics
Notice bibliographique
Résumé
_ Devon Energy may have unlocked why hydraulic fractures in some tight-rock plays grow faster than others. This appears to be strongly linked to the well-density potential of these plays. The operator is also working on a new way to measure how fractures squeeze steel pipe, which, in turn, might result in more-efficient completion designs. SM Energy recently studied the interactions between hydraulic fractures and faults in one of its tight-rock projects in Texas. When a fault slipped, the Denver-based producer had seen production slip too. Now, armed with enough data, SM Energy has adopted new completion designs that avoid overpressurizing the faults found all over the target formation. Shell’s search for light-tight oil in the Permian Basin ended about a year ago but what the company learned there will live on in its other unconventional projects. Not least of those learnings involves how to best deploy diagnostic technologies to answer big questions about the way fractures behave—no matter the formation. These glimpses into how each unconventional operator is relying on fracture diagnostics were shared at a recent technical conference organized by Calgary-based SAGA Wisdom which offers training for engineers on reservoir analysis. Here is more on the lessons they shared with the industry at the conference held this year in Fort Worth, Texas. Pick the Right Tools Som Mondal, an engineer with Shell’s shale business unit, joked that when he agreed to speak at the conference about the company’s diagnostics journey in the Permian, it still owned assets there. The London-based supermajor exited the largest US onshore play in a $9.5-billion sale to ConocoPhillips that closed in December 2021. But while it has moved on from the Permian, Shell still operates unconventional assets in Argentina’s Vaca Muerta and the Montney Shale in Alberta. It is in those places where the company’s years of integrated diagnostics research in the Permian will be carried forward. Mondal shared how that work shaped the way he now views the different diagnostics technologies and where they complement each other. On this, he subscribes to two overarching philosophies. “One, we need to aim for consilience—which is when different, independent approaches converge toward the same solution,” said Mondal. “And second, we need to weigh the different diagnostics so that we can combine them based on our confidence in them and the scope of its measurement.”
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| 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 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| 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.
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