2018 AAPG Siliciclastics Theme

Theme 1 (Siliciclastics) covers the full range of siliciclastic sedimentary systems, and the plays and reservoirs that they host. Of particular interest are submissions that emphasize the novel application of analogs, analytical tools, modelling methods, and big data analytics to aid understanding and prediction of siliciclastic reservoir distribution, character, and quality.

Theme Chairs: Gary Hampson (Imperial College London) and Zane Jobe (Colorado School of Mines)

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Within the Siliciclastics Theme, there are 7 subthemes (described below) that provide some granularity for presenters to hone their abstracts prior to submission:

1. Analogs for siliciclastic reservoirs: Outcrops, modern systems, experiments, and numerical/digital models
Subtheme chairs Liz Hajek (Penn State Univ.), Dave Hodgetts (Univ. Manchester), Kyle Straub (Tulane Univ.)

Proposed sessions are:
– Digital Reservoir Analogues from outcrop to pore scale: Digital outcrop imaging crosses a range of scales from regional and outcrop scale studies using Lidar and SFM, down to the pore scale using X-Ray CT imaging. This sub theme aims to bring together people working on reservoir-analogue imaging and visualisation on different scales and resolutions to enhance the understanding of multi-scale heterogeneity in outcrop analogue studies.
– What to measure and why: how to best link field and subsurface observations to numerical and physical experiments.
– Adapting analogs for unconventional plays
– Successes and failures of analog datasets: Why do some analogs work? What can we learn?

2. Continental depositional systems, plays, and reservoirs
Subtheme chairs Piret Plink-Bjorklund (CSM), Anton Wrobleski (ConocoPhillips), and Amanda Owen (Univ. Glasgow)

Proposed sessions are:
– Modelling and reservoir simulation of continental deposits
– Quantitative analogues for subsurface continental reservoirs
– Understanding variability within meandering deposits: understanding heterogeneity within fluvial deposits
– New developments in fluvial stratigraphy

3. Shallow-marine depositional systems, plays, and reservoirs
Subtheme chairs Boyan Vakarelov (Sedbase), Cornel Olariu (UT Austin), and Xiaomin Zhu (China Univ Petroleum)

Proposed sessions are:
– Shallow-marine outcrop, modern and subsurface analogues
– Heterogeneities in shallow marine reservoirs: examples, analogues, solutions
– How to deal with process variability and architecture of mixed-influence shallow marine systems: lessons from modern and ancient systems
– Modeling and quantitative analysis of deltaic systems (also see subtheme 7)

4. Deepwater depositional systems, plays, and reservoirs
Subtheme chairs Sarah Southern (Univ Calgary), Andrea Fildani (Statoil), and Ian Kane (Manchester)

Proposed sessions are:
– Everything but the sink – understanding source-to-sink controls on deep-marine sedimentary systems
– New advances in deep-marine sedimentology – from outcrop and remote sensing to numerical modelling and in-situ flow observations
– New insights into depositional processes and products: effects on reservoir quality and its distribution within deep-marine sedimentary systems
– Interaction of deep-water systems with static and dynamic seafloor topography, relative roles of autocyclic and allocyclic modulation

5. Diagenesis and reservoir quality in conventional and unconventional clastic reservoirs (Joint with Theme 5: Unconventionals)
Subtheme chairs Kevin Taylor (Univ. of Manchester), Kitty Milliken (Bureau of Economic Geology, Texas), Steve Sonnenberg (Colorado School of Mines), Patricio Desjardins (Shell), Sam Hudson (Brigham Young University)

The development of novel analysis techniques, both bulk and spatially resolved, coupled with the drive towards better understanding of unconventional reservoirs, has resulted in a recent growth of knowledge in the style of diagenesis, and impact of this upon reservoir quality, in clastic systems. Within conventional reservoirs, mineral dissolution and precipitation/replacement has a major control on pore-space and pore-networks; upon the reactivity with production fluids; and impacts IOR/EOR processes, as well as CO2 injection and storage. In unconventional reservoirs diagenesis plays a major role in pore-evolution and can be the major control on the geomechanical and petrophysical properties of the reservoir. We solicit contributions using outcrop and sub-surface data sets, which contribute to our understanding of this important field.

Proposed sessions are, (but not limited to)::
– diagenetic controls on porosity and geomechanics of unconventional reservoirs
– new insights into reservoir quality evolution
– fluid-rock interactions in clastic reservoirs: from diagenesis to production

6. Using AI to Unlock Problems in Sedimentary Geoscience (Joint with Theme 9: Energy Innovation)
Subtheme chairs Laura Banfield (BP), Eirik Larsen (Earth Analytics), Brendon Hall (Enthought), and Matt Hall (Agile)

The development of artificial intelligence (AI), data analytics, machine-learning, and especially deep learning technology has disrupted several domains such as social media, language translation, computer vision, and bioinformatics. Can AI have a similar impact on petroleum geoscience, and in particular on geologic and stratigraphic problems? In this session we aim to explore the state of the art in AI for geoscience, what problems the community is currently addressing, and what the future of AI-assisted petroleum geoscience may be. The session will be followed up with an “unsession” where participants will debate key questions related to application of AI in petroleum geoscience.

Proposed sessions are:
– AI-assisted integration of large volumes of petrophysical, geophysical, and geological data.
– AI opportunities in reservoir quality studies to improve accuracy.
– AI-assisted lithology and fluid prediction to reduce risk.
– Increase efficiency with automated data analysis, enabling data-driven uncertainty analysis.
– AI techniques for seismic geomorphology and geobody classification.
– Integrated stratigraphic, sedimentological and rock-property predictions using wells, seismic data and AI.
– Knowledge transfer from AI innovations in other domains to petroleum geosciences.
– The evolving role of geoscientists in the applications of AI technology.

7. Capturing and evaluating the impact of sedimentologic heterogeneity in reservoir models (Joint with Theme 2: Carbonates and Evaporites)
Subtheme chairs Lisa Stright (Colorado State), Greg Hurd (Chevron), and Katy Sementelli (Hess)

Proposed sessions are:
– What really matters for capturing realistic heterogeneity in reservoir modeling: Algorithms, workflows and data integration
– Deterministic and Stochastic analogue data usage in subsurface modeling workflows
– Modeling and predicting the impact of multi-scale heterogeneity in unconventional, tight rock and fractured reservoirs

 

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