DA
Dan Arnold
Authored
16 records found
Geothermal energy has a high potential to contribute to a more sustainable energy system if the associated economic risks can be overcome in the design process. The development planning of deep geothermal reservoirs (over 1000 m depth) relies on computer models to forecast and th
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Benchmark problems have been generated to test a number of issues related to predicting reservoir behaviour (e.g. Floris et al., 2001, Christie and Blunt, 2001, Peters et al., 2010). However, such cases are usually focused on a particular aspect of the reservoir model (e.g. upsca
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This work presents a new open-source carbonate reservoir case study, the COSTA model, that uniquely considers significant uncertainties inherent to carbonate reservoirs, providing a far more challenging and realistic benchmarking test for a range of geo-energy applications. Th ...
This work presents a new open access carbonate reservoir case study that uniquely considers the majoruncertainties inherent to carbonate reservoirs using one of the most prolific aggradational parasequencecarbonate formation sets in the U.A.E., the Upper Kharaib Member (Early Cre
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Naturally Fractured Reservoirs (NFR) hold a significant fraction of remaining petroleum reserves. Recovery factors from NFR are usually less than in conventional reservoirs due to associated high uncertainty throughout the characterisation and modelling phases. This particularly
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Polymer flooding offers the potential to recover more oil from reservoirs but requires significant investments which necessitate a robust analysis of economic upsides and downsides. Key uncertainties in designing a polymer flood are often reservoir geology and polymer degradation
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Reliable production forecasting for fractured carbonate reservoirs is a challenge. Natural fractures, adverse wettability and complex matrix heterogeneity are all uncertain and can all negatively impact upon recovery. Ideally, we should consider different reservoir concepts encap
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Polymer flooding offers the potential to recover more oil from reservoirs but requires significant investmentswhich necessitate a robust analysis of economic upsides and downsides. Key uncertainties in designinga polymer flood are often reservoir geology and polymer degradation.
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When simulating foam floods, uncertainties exist in both the foam and reservoir parameters however the combination of these uncertainties are rarely incorporated in forecasting. Foam flooding is an effective enhanced oil recovery method that controls mobility, reduces gas relativ
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This work presents a new open access carbonate reservoir case study that uniquely considers the major uncertainties inherent to carbonate reservoirs using one of the most prolific aggradational parasequence carbonate formation sets in the U.A.E., the Upper Kharaib Member (Early C
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Fractured carbonate reservoirs are known for its complexity, this has big impact on production especially when EOR methods are used. Foam is known for its potential to improve recovery by diverting the flow to the poorly swept regions. In order to capture the uncertainties associ
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This paper describes the application and testing of innovative dual porosity flow diagnostics to quantitatively rank large ensembles of fractured reservoir models. Flow diagnostics can approximate the dynamic response of multi-million cell models in seconds on standard hardware.
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In this study we have applied new dual-porosity flow diagnostics to a recently discovered offshore fractured carbonate reservoir undergoing charactersiation studies. Carbonate reservoirs are typically highly hetrogeneous, naturally fractured and often mixed to oil wet, all of the
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Carbonate reservoirs contain much of the world's remaining hydrocarbon resources. These reservoirs are challenging to characterise and forecast production due to uncertainty in the fracture distribution and wettability. Ideally a large number of models needs to be simulated to qu
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There are a number of benchmark studies for clastic reservoirs (e.g. the PUNQ, SPE10, Brugge Field, Watt Field, or Norne Field models) for challenges such as EOR, testing new numerical algorithms for reservoir simulation and uncertainty quantification. To date, the only carbonate
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In this paper we describe new and innovative flow diagnostics tools for dual porosity models for naturally fractured reservoirs. Our new diagnostic tools allow us to compare and rank large numbers of geological models based on their approximate dynamic response in almost negligib
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