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PESA WA Evening lecture: From architecture to application: challenges and solutions to modelling clastic reservoirs

Tuesday, November 14, 2017 @ 17:30 - 20:00

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Guest Speaker: Bill McCaffrey

Bill graduated with a degree in Geology from Oxford in 1987 and a PhD from Leeds in 1991 and is now Chair of Clastic Sedimentology at Leeds University and Research Director of Petroleum Leeds.  His principal research interest is in deep marine clastics; he is Principal Investigator of the long-running Turbidites Research Group joint industry project.  The TRG follows field, theoretical, experimental and computation research approaches to better understand deep marine sedimentation.   In addition he has interests in fluvial and shallow marine sedimentology.

Petroleum Leeds
Petroleum Leeds (https://petroleum.leeds.ac.uk/) brings together the Engineering and Geoscience expertise facing the oil and gas industry at the University of Leeds to create a world-leading centre, offering a single point of contact for petroleum related research, training and consultancy. Areas of expertise include: basins and structural geology; geophysics; petrophysics and geomechanics; sedimentology; 3D visualisation; asphaltenes; emulsions and wax; corrosion and scale; nanotechnology; governance.

Hosted with thanks to our sponsor Spectrum

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From architecture to application: challenges and solutions to modelling clastic reservoirs


Bill McCaffery

Date & Time:      Tuesday 14th November, 5.30pm (for talk start at 6.15pm)


PESA Members:                                $10.00 (Members must Log on to the PESA website to see the member prices)

Non-members:                                 $30.00

PESA Students Members:             Free (registration is essential)

Bookings close 12noon Tuesday 14th November 2017 for venue and catering purposes.

In the last 25 years the volume of research on clastic sedimentary settings has increased exponentially, driven in large measure by industry challenges in reservoir characterisation.   A large number of case studies has been conducted, exploiting outcrop, modern-system and seismic datasets, spanning continental, shallow- and deep-marine settings.  The data and understanding that arise are used to derive rules to guide interpretation, to promote the use analogues and to inform expert opinion – applied via consultation.  A key question might be to ask how widely the insights promoted by such work are applied – and the cynic might conclude that penetration is variable at best. 
The analysis of large data sets is an emerging approach to better apply the growing body of research on clastics to subsurface workflows.  In this approach, large numbers of case studies are digitised to a common standard and uploaded into relational databases, subdivided by clastic environment.  The databases store information on controlling factors that act on depositional systems and on sedimentary units at different hierarchical scales.   They can be interrogated to assess variability in system expression under different combinations of boundary conditions, and the results then used to refine subsurface characterisation.   Fields of generic and applied research in which the approach finds application include:
•             The development of quantified facies and architecture models for subsurface interpretation and prediction;
•             Meta-analysis aiming to assess the sensitivity of architecture to variations in external controls;
•             Conditioning of stochastic reservoir models;
•             Establishing links between environments in source-to-sink analyses, facilitating predictions based on geological understanding.
Meta-analysis of large datasets has the promise to develop as a complementary approach to better-established case study or process-based techniques, forcing new insight into the rules governing clastic system development, and finding direct application in subsurface characterisation.


Tuesday, November 14, 2017
17:30 - 20:00


Rigby’s Bar
221 St Georges Terrace, PERTH, Perth 6000 Australia


PESA Western Australia
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