Oct. 25, 2023


Description

We made significant efforts to characterize the existing natural fractures in the subsurface and understand the impact of the natural fractures.

Our mental model of hydraulic fracture – natural fracture interaction has evolved significantly. This talk will highlight our three main findings:

  1. Data (modeling, fiber, core-through, RTA) suggest that natural fractures do not generate severe fracture complexity. Additionally, the interaction between hydraulic fractures and fractures is favored where the orientation of natural and hydraulic fractures is closely aligned. Hence it is rare to see hydraulic fractures that deviate significantly from the current day Shmax direction due to natural fractures.

  2. Based on multiple diagnostic data, we see no clear trend on the influence of natural fractures on growth of hydraulic fractures or on production.

  3. Based on modeling, the main impact of natural fractures is to enable larger height growth and shorter length growth. This is due to higher net-pressure during fracturing in presence of natural fractures and higher degree of vertical natural fracture communication. Additionally, the magnitude of height difference is generally within the uncertainty range obtained from hydraulic fracture modeling without any natural fractures.

Featured Speakers

Speaker: Deepen Gala
Speaker Deepen Gala

Deepen Gala is currently a Reservoir Engineer in the Permian Delaware team at XTO (ExxonMobil). He has over 4 years of professional experience. He holds a PhD in Chemical and Petroleum Engineering from The University of Texas at Austin. He has authored or coauthored more than 15 publications on variety …

Deepen Gala is currently a Reservoir Engineer in the Permian Delaware team at XTO (ExxonMobil). He has over 4 years of professional experience.

He holds a PhD in Chemical and Petroleum Engineering from The University of Texas at Austin.

He has authored or coauthored more than 15 publications on variety of topics related to unconventionals and has progressed  the commercialization of several technologies for unconventionals in the following areas:  (a) machine learning tools for next-generation, lightning fast subsurface modeling and uncertainty characterization   (b) fully coupled and user-friendly multi-physics modeling workflows (c) deriving insights from surveillance data to guide development decisions.

Deepen currently serves on the SPE Permian Basin Energy Conference Committee and is a peer-reviewer in a variety of journals.

Full Description



Organizer

Dapo Adejare


Date and Time

Wed, Oct. 25, 2023

11 a.m. - 1 p.m.
(GMT-0600) US/Central

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Location

Maggiano's Little Italy

2019 Post Oak Blvd
Houston, TX 77056
United States of America



Group(s): Reservoir