Dirk-Jan Walstra (Deltares/Delft University of Technology)

Joep Storms (Delft University of Technology)

Andrea Forzoni (Deltares)

Overview of development and plans for the application of Delft3D numerical analogues to

reservoir geology

(Why) Is there a need for process

modeling?

(Why) Is there a need for process-

modeling?

Stochastic representation of the Holocene Po delta based on

144 CPT’s and 8 cores

Stochastic model of the Holocene Po delta (Italy) Janszen, 2008

1 datapoint / 2.5 km2

15 km 25 km

25 m

Collaborative research

• Integration of multiple disciplines (morphology, geology, hydrodynamics)

• Developing a track record in the oil industry

– Since 2006 Statoil (2 Phd’s, 4 MSc’s & 1 Postdoc)

– 2012 - 2015 ConocoPhilips

– Since 2013 Shell (1 Phd in collaboration with TUDelft)

• Academic alliances – TUDelft, UUtrecht, Unesco-IHE Phd’s, Msc’s, staff exchange

– NCED(2) Support 1 Post Doc (50%) Nathanael Geleynse

Model components

bottom depth

current waves

sediment transport

bottom change &

Stratigraphy

up

sca

led

b

ath

ym

etr

y

Approach to P.B. Forward Long-term modelling

• Simple schematised cases (proof of concept)

• Resemble empirical (equilibrium) relations

• Identify dominant mechanisms (e.g. forcing or paleostratigraphy)

• Identification of equilibrium

• Impact of modified forcing on morphology and stratigraphy

• Interpretation based on patterns and aggregated results

Trend analysis (next talks of Liang and Helena)

Workflow example MSc Martin Lipus 2015

Workflow example MSc Martin Lipus 2015

Delft3D in a geological context • Pro’s

– process-based

– Details (vertical resolution)

– Consistent (4-D)

• Cons

– Heavy CPU

– Still limited in time scales

– No conditioning (i.e. exact reproduction of core data)

Delft3D in a geological context

Reservoir-scale basin infill realistic auto- and allogenic delta evolution and behavior: e.g. avulsions, bifurcations, mouth bar formation, prodelta and deltafront formation, sediment sorting, channel-, levee- and deltaplain sedimentation, …

Full Numerical Analogues (4-D) Sandbody Properties Geometries Connectivity, Channel networks, etc. Statistics (e.g. pixel and object based reservoir modeling in Petrel or RMS)

Need for Delft3D-GT

• Unlocking Delft3D for reservoir geologists – Model Wizard

– Database management

– Integrated Post-processing tools

– Data mining (trends)

– Online sharing Online Tool (OS independent)

• Open Source (CPU and data storage not included!)

Components Delft3D-GT

Web GUI

Delft3D + Scripts

DataLab

Architecture

Run

Client 1

3TU Data center

Client 2

Webserver: - Web GUI - Python - Local Delft3D

(Local) computer cluster or cloud with Delft3D & Python

Central webserver

(Local) computer cluster with Delft3D & Python

Load/publish

Delft3D-GT • Web interface

• Scenario builder (preparation of multiple runs)

• Execution of runs • Scripting facility (Python)

• Online central datalab

• One database: easy to share • Option to make parts of database

private (but central admin) • Option to search parallel through

private and public (based on user rights) • Data mining

– Standard post-processing – Scripting facility (Python)

• Export facility (Petrel, RMS, etc.)

Development of Delft3D-GT

• Start of project 1 September 2015

• End of 2015 Functional Design

• Spring 2017 Delft3D-GT Version 1.0

• Joint effort Deltares & TU Delft for Statoil

• Open source

• Open to other participants