View Project

Norwegian AI Directory

Geosteering for improved oil recovery


Geosteering decisions are generally based on geological models. To make optimal decisions while drilling, it is necessary that geological models for the near wellbore region are well calibrated against measurements and that the uncertainty is quantified. The current work processes for geosteering suffer from shortcomings. (i) It is highly challenging to calibrate geomodels to deep Electromagnetic Measurements (EM) and Logging While Drilling (LWD) measurements for complex formations. (ii) There is a lack of flexibility in the current geomodels for support of structural updates and fast local updates. (iii) There is a lack of a transparent, systematic and consistent workflow for quantifying complex geological uncertainties in the geomodel, and considering them when making geosteering decisions. The primary objective of this project is to develop methodology for geosteering by continuously updating geomodel based on LWD measurements including deep EM measurements. To achieve this objective, we will address the following secondary objectives; - Ensemble-based geosteering workflow. Develop and improve an ensemble-based workflow for geosteering that would integrate seamlessly with reservoir management. - Processing deep EM measurements. Apply appropriate EM forward modelling tools and investigate efficient processing of EM measurements for integration in geosteeering workflow - Flexible earth model representation. Further develop a flexible representation of the geological model that supports local updates and uncertainty modelling of the geological structures and properties in real-time.

Project leader: Sergey Alyaev

Started: 2017

Ends: 2021

Category: Teknisk-industrielle institutter

Sector: Instituttsektor

Budget: 15700000

Institution: NORCE Teknologi/Energi VESTLAND

Address: Bergen