黑料吃瓜资源

Comparing fault seal predictions with dynamic data and emerging fault seal methodology

This Master's project was designed for H氓vard O. Rinde who started the Master's program in Earth Sciences, 黑料吃瓜资源, in the spring semester 2024. The Master's project is given by the research group Geodynamics and basin studies.

Project description

Fault seal workflows have been used unchanged for a long time for determining number of wells and well placements in field development or predicting remaining reserves in late life field production. We are however still struggling trusting the predictions, and lately the old methods are being questioned (M眉ller et al. in press) and new methods have been suggested. The theses will address fault seal predictions from multiple algorithms and benchmark it against dynamic information like contact information, tracer, water chemistry and responses between injection and production.

Comparing fault seal predictions with dynamic data and emerging fault seal methodology
Photo: users.monash.edu.au

Proposed course plan during the master's degree (60 ECTS)
(10sp), (10sp), Geosoftware (5sp)
(10sp), GEOV264 (5sp), (10sp), (10sp)

External data
Data will be provided by Equinor

Student

H氓vard Oppedal Rinde

Supervisor(s)

Christian Hermanrud (main supervisor)

Elco Luijendijk, 黑料吃瓜资源-GEO

Signe Ottesen, Equinor

Last updated: 17.12.2025