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Training: Sedimentology, Stratigraphy and Reservoir Geology of Deepwater Clastic Systems

20/04/2023

Location: County Clare, Ireland
Date: 15 - 19 Jul. 2023
Start Time: 09:00 BST
Instructor: Andy Pulham

Business Impact: Participants on this course will learn to appreciate the sedimentology and stratigraphy of deepwater systems and apply this understanding to the prediction of reservoir presence, quality, distribution, and architecture. Participants will thus be equipped to add value to subsurface projects across the E&P life cycle.

The focus of this course is an outcrop examination of basin floor, slope and shelf margin architecture and stratigraphy. Controls on deepwater sedimentation are discussed in detail, specifically high amplitude sea level changes, sediment supply and the importance of varied gravity flow processes to reservoir elements and their distribution. Observations and interpretations are supported by lectures, case studies, analogues, and behind-outcrop core and wireline log data.

Participants will learn how to:

  1. Validate the range of gravity flow processes and products, their recognition in the subsurface and reservoir implications.
  2. Evaluate the temporal and spatial distribution of the key elements of sand-rich basin-floor turbidite and associated slope systems.
  3. Characterise the stratigraphic architecture, scale and distribution of potential reservoir units in sand-rich turbidite systems.
  4. Evaluate reservoir description tools and techniques; cores, logs and seismic, for the variety of depositional settings examined.
  5. Assess the contrasting nature of internal reservoir characteristics through a variety of deepwater depositional elements and its implications for exploration and exploitation risks.
  6. Assess the large-scale controls that can operate on deepwater depositional systems, with particular emphasis on high-resolution sequence stratigraphy in basin floor, slope and associated deltaic systems.
  7. Evaluate regional scale links from basin margin to basin floor settings and make well constrained predictions of reservoir presence and potential quality.

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