Go straight to content
Home
<
Projects
<
DISTINGUISH: Decision support using neural networks to predict geological uncertainties when geosteering

DISTINGUISH: Decision support using neural networks to predict geological uncertainties when geosteering

, , Copy DALL E 2023 12 29 15 47 41 Visualize a neural network interfacing with complex geological formations On the left side intricate layers of sedimentary rock varying in hues fro copy, ,

The ability to fine-tune well positioning in real-time through geosteering increases the potential value of wells and minimizes risks. Geosteering is essential for petroleum and penetrates other types of drilling, including geothermal projects, civil wells and tunnels, and soon CO2 storage wells.

Currently, geosteering decisions rely on fast-paced manual interpretation of real-time data, which needs to consider pre-job modeling, geological setting, and embedded uncertainties. “Given the pace of drilling, the person in charge of geosteering is hard-pressed just to interpret the incoming data, much less contemplating the uncertainty in it” (Rassenfoss, 2022, SPE JPT).

Following the newest trends in the industry geosteering workflow of the future shall capture and update uncertainty in an ensemble of geomodels. The most advanced ensemble methods are the core of closed-loop reservoir management (EnCLRM), the new standard for optimizing the development of petroleum fields. However, EnCLRM is not fast enough for real-time operations due to the involved geomodelling complexity.

We plan to remove this complexity by creating new Generative-Network (GN) geomodels. GN-geomodels “learn geology” before the operation and have sub-second performance. They unlock next-generation data assimilation and new predictive decision-support AI.

DISTINGUISH will develop these technologies and combine them into the “geosteering workflow of the future.”

It proposes a new way of thinking substituting “depth of detection” with “distance of prediction” and probabilistic decision support.

We plan early testing on field data and with future technology users to accelerate adoption.

DISTINGUISH addresses research challenges related to well placement from an Oil-&-Gas-21 machine-learning report. According to the report, better well placement may lead to additional discoveries on the Norwegian Continental Shelf, an increased net present value from drilling, and significant CO2 emission reductions.

Contact

Sergey Alyaev

Senior Researcher - Bergen

saly@norceresearch.no
+47 51 87 56 10

Project facts

Name

DISTINGUISH: Decision support using neural networks to predict geological uncertainties when geosteering

Status

Active

Duration

01.11.23 - 02.05.27

Location

Bergen

Total budget

23.675.000 NOK

Research group

Funding

Aker BP, Equinor, Research Council of Norway (RCN)

Prosjekteier

NORCE

Project members

Ahmed H. Elsheikh
Reidar Brumer Bratvold
Nello Blaser
Dan Sui

Samarbeidspartnere

Heriot-Watt University, Universitetet i Stavanger, Universitetet i Bergen

news

See all news

News

Tundra might turn into a carbon source by global warming

Insight

The ocean will be an important food source in the future and digitalization will be a critical tool to ensure we do it right

Projects

See all projects
Projects

Evaluering av VR-opplæring for smelteovnsoperatører

See the project
Projects

Large Scale Survey System (LSSS)

See the project
Projects

Present and past climate change impacts on Norwegian fjord ecosystems (PASTIME)

See the project
See all projects
NORCE logo

Contact

Postal Address: P.O.B 22 Nygårdstangen
NO-5838 Bergen

E-mail: post@norceresearch.no

Phone: +47 56 10 70 00

Visit us: See an overview of all our locations.

Privacy and Data Protection

About cookies

Invoices

NORCE Norwegian Research Centre

Address: P.O.B 22 Nygårdstangen

NO-5838 Bergen

Organisation number: 919 408 049.

Invoices by e-mail in PDF format: fakturamottak@norceresearch.no

Always label invoices with our order number. Where an order number is not available, label the invoice with employee ID number or name of the purchaser.

©2024 NORCE
Contact web editor
Tilbake til toppen