BibTex format
@inproceedings{Li:2016,
author = {Li, X and Yi, T and Giddins, M and Krevor, S and Aderemi, S},
title = {A novel approach for waterflood management optimisation using streamline technology},
year = {2016}
}
We investigate the physics, chemistry, and techno-economics of CO2 storage underground
Our research includes exploring fundamental pore scale fluid dynamics, developing digital rocks analysis techniques, increasing the accuracy of field scale reservoir simulation, and evaluating the feasibility of scaling up CO2 storage to climate relevant scales.
Our Research Projects
StrataTrapper Advanced Modelling of CO2 Migration and Trapping
THMC4CCS: ThorougH experiMental and numerical investigation of Coupled processes for geologiC Carbon Storage
Citation
RIS format (EndNote, RefMan)
TY - CPAPER
AB - This paper presents a new streamline-based workflow to cover the two main aspects of waterflood management optimisation: infill drilling well location identification and injection rate allocation. Streamline properties are used in every step of the evaluation and decision-making process in the workflow. A novel ranking scheme, weighted by streamline 'remaining mobile oil in pattern', is developed in this study. The well ranking criteria are not only based on the properties of individual well completion cells as in a traditional quality map, but also account for connectivity between injector/producer pairs. In such a way, candidate producers at high-quality map locations, but with poor connectivity or limited swept area, can be screened out. The other main component of the workflow is to perform dynamic pattern injection reallocation in response to the changed well pattern resulting from newly introduced producers. A unique insight for utilization of a multi-zone waterflood for a vertically heterogeneous field is also provided. 2D and 3D heterogeneous models were used to develop and validate the workflow for its general implementation on real field models. The final oil recovery and net present value (NPV) analysis show that the oil recovery can be increased significantly compared to traditional optimisation methods.
AU - Li,X
AU - Yi,T
AU - Giddins,M
AU - Krevor,S
AU - Aderemi,S
PY - 2016///
TI - A novel approach for waterflood management optimisation using streamline technology
ER -