CGG: GeoSoftware Increases E&P Efficiency and Effectiveness with Machine Learning and Cloud-Ready Applications
14 June 2018 - 6:31AM
CGG GeoSoftware Increases E&P
Efficiency and Effectiveness with Machine Learning and
Cloud-Ready Applications
Paris, France - June 14, 2018
At the 2018 EAGE convention in Copenhagen, CGG
GeoSoftware is showcasing its latest developments aimed at
harnessing the powerful capabilities of machine learning and cloud
computing to enhance the performance and value of its geoscience
software. E&P industry users can benefit from these new
advances and transform their work practices, processes and
workflows to ultimately streamline and improve operations.
In machine learning, GeoSoftware is addressing
the complex challenges of reservoir characterization and
interpretation, such as developing permeability models in complex
carbonates and developing porosity and permeability models in
unconventional reservoirs, as well as more mundane requirements for
automating routine, but necessary, tasks such as modeling missing
log curves essential for seismic reservoir characterization or
automatically identifying and flagging poor-quality log curves in a
project.
With the latest 9.7.2 release of PowerLog
petrophysical analysis software, users can now solve complex
petrophysical and reservoir engineering challenges by accessing
native machine learning and deep learning Python utilities, opening
up vast possibilities for leveraging open-source technology and
solutions, and designing bespoke workflows.
This year's release of version 10.4 of
GeoSoftware's HampsonRussell reservoir characterization software
will deliver substantial new machine learning technology in its
Emerge attribute prediction module with advanced Deep Feed Forward
Neural Network technology. Early investigations show promise for
estimating density which is typically challenging to achieve
through inversion.
GeoSoftware is migrating all of its software
products to the Cloud, first to Microsoft Azure and then to other
cloud providers. It has already completed the first
"Lift-and-shift" phase of its digitalization technology roadmap to
ensure all its applications can run in the cloud. Phase two is
focused on support for scaling out CPU-intensive computations to
take advantage of the massive compute power available in the cloud,
while phase three is focused on native cloud applications to take
full advantage of the elasticity offered by the cloud
environment.
Sophie Zurquiyah, CEO, CGG, said: "As an
integrated geoscience company, CGG is aware of the challenges of
digitalization for the E&P industry as well as the significant
rewards it can bring to create new value and optimize
decision-making. GeoSoftware is taking the lead to develop and
demonstrate new workflows and capabilities so its software users
can leverage the full potential of these new technologies and
trends. These first results from our technology roadmap are just
the beginning and we anticipate many more exciting developments in
the future."
About CGG
CGG (www.cgg.com) is a fully integrated
Geoscience company providing leading geological, geophysical and
reservoir capabilities to its broad base of customers primarily
from the global oil and gas industry. Through its three
complementary businesses of Equipment, Acquisition and Geology,
Geophysics & Reservoir (GGR), CGG brings value across all
aspects of natural resource exploration and exploitation. CGG
employs around 5,300 people around the world, all with a Passion
for Geoscience and working together to deliver the best solutions
to its customers.
CGG is listed on the Euronext Paris SA (ISIN:
0013181864) and the New York Stock Exchange (in the form of
American Depositary Shares. NYSE: CGG).
Contacts
Group
Communications Christophe BarniniTel: + 33 1 64 47 38
11E-Mail: : invrelparis@cgg.com |
Investor RelationsCatherine LeveauTel: +33 1 64 47 34
89E-mail: : invrelparis@cgg.com |
- Press release pdf version.pdf