Objective
The project aims at predicting porosity evolution in the deep-seated North Sea reservoir units of the Brent Group sandstones, in the HILD Field through application of new numerical tools designed to compute the porosity volume changes produced by mineral diagenesis and their impact on reservoir quality.
The purpose of the project is to demonstrate that the integrated use of advanced software can be flexible, efficient, and reliable enough to be "routinely" applicable by an oil company at the exploration, appraisal, and development stages.
It will demonstrate that the correct knowledge of diagenetic effects on reservoir leads to an accurate determination of the spatial distribution of reservoir properties.
In production, this new technology will increase the accuracy of the reservoir model and will have a significant impact upon the economics of marginal hydrocarbon accumulations.
Improvements in oil recovery understanding could be expected.
Phase 1 : finished
Phase 2 : in progress, but slightly delayed.
Phase 3 : Even though sampling and sedimentological studies presented no problems, the project is running late with respect to the proposed schedule. This is due to long turn-around times at each steps of the data acquisition process. According to this, the diagenetic sequence, discussed early 1998, was only confirmed in June. Even though code tests were possible, using an estimated diagenetic sequence, code processing faces several problems of adjustments (realistic mineral data set, unexpected code problems). However, the work is new well advanced. The six-month contract extension accepted by EC will allow to meet the final objective in due time (June 1999) whilst the geochemical modelling is progressing according to the new schedule.
The Brent sandstone porosity evolution with burial will be described and quantified. This evolution will be firstly described from an exploration point of view, then a close-up will be made to reach the production point of view. Results will be checked against the reservoir parameters observed in the HILD field. The project is divided into three phases, and partners will participate according to their past experience.
Phase 1 : Data gathering and organization.
Data available from Joule or Thermie projects and the confidential data, already existing on the HILD field, will be gathered to set up a complete data base. This will be completed by a basin modelling run, to account for the water volume transfer. From this, and based on geology, working hypotheses for further modelling will be tested in order to establish a regional burial and tectonic history, as well as a thermal history.
Phase 2 : Modelling.
Considering the probable fluid and mineral complexity, a first delineation ofthe modelling context will be defined with ALLAN-TM-NEPTUNIX. Water composition will be examined in detail.
Successive mineral assemblages will be studied using the DIAPRED code. The basin-scale diagenetic evolution will be quantified in terms of mass balance of the mineral transfers (forward burial-oriented mode). The final set of model realizations using the DIAPHORE code (task 5) will aim to quantify the diagenetic effects at a more local and temporally limited scale, namely at the scale of the reservoir layering.
Phase 3 : Demonstration of the predictive qualities.
The field used for this demonstration has already been prepared and studied for production. All needed data are therefore available, including stochastic description of petrophysical characteristics.
The demonstration will compare porosity - permeability maps already established for field production, with the maps created by the present study. At this step, spatial repartition of porosity and permeability is expected to be different. The demonstration will aim at showing that significant differences could be explained, and lead to strong changes in the economy of projects considered as marginal fields.
Fields of science (EuroSciVoc)
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- humanitieshistory and archaeologyhistory
- social scienceseconomics and businesseconomics
- natural scienceschemical sciencesorganic chemistryhydrocarbons
- natural sciencesearth and related environmental sciencesgeology
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Call for proposal
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DEM - Demonstration contractsCoordinator
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