Javascript must be enabled to continue!
The Improvement of Production Profile While Managing Reservoir Uncertainties with Inflow Control Devices Completions
View through CrossRef
Abstract
The distributions of various parameters such as of the petro-physical properties, fluid contacts, relative permeabilities, aquifer strength etc. influence oil production profile. This requires implementing probabilistic approaches important for the field's performance prediction. Advanced Well Completions (AWCs) are capable to reactively and/or proactively mitigate the unpredictable production conditions of hydrocarbon reservoirs particularly in case of the heterogeneous reservoirs. However, determining the optimum design of the devices is still a big challenge since it should have been done respecting the long-term performance of the completion. This requires using reservoir models that include significant level of uncertainty due to ambiguity of the reservoir and geological parameters used.
Latin Hypercube Sampling (LHS) approach was applied to evaluate various dynamic uncertain parameters with different distributions profiles. Numerous realisations of the reservoir models were also generated to provide a confident level of geological uncertainty by a sequential Gaussian simulation algorithm. Various completions such as Open-hole, Inflow Control Devices (ICDs) and Autonomous Inflow Control Devices (AICDs) were deployed in horizontal wells to investigate the uncertainty management by the well completions.
The results showed AICDs completions are more appropriate to reduce the production of the unwanted fluids and increase oil recovery than ICDs. Moreover, overall as well as the individual impacts of the uncertain parameters on oil production profile were evaluated by statistical analysis. This helps determining the most influencing parameters on the production profile as well as the most influenced uncertain parameters when AWCs are deployed. The results showed that although both of the AICDs and ICDs completions significantly reduce the oil production variations comparing with Open-hole completion, AICDs completions perform much better than the ICDs to manage the effects of the reservoir uncertainties on oil recovery. The study aims at providing approaches quantifying the impacts of AWCs on the reservoir uncertainties and confirming the long-term benefits of AWCs while reducing the risk associated with the field's development plan.
Title: The Improvement of Production Profile While Managing Reservoir Uncertainties with Inflow Control Devices Completions
Description:
Abstract
The distributions of various parameters such as of the petro-physical properties, fluid contacts, relative permeabilities, aquifer strength etc.
influence oil production profile.
This requires implementing probabilistic approaches important for the field's performance prediction.
Advanced Well Completions (AWCs) are capable to reactively and/or proactively mitigate the unpredictable production conditions of hydrocarbon reservoirs particularly in case of the heterogeneous reservoirs.
However, determining the optimum design of the devices is still a big challenge since it should have been done respecting the long-term performance of the completion.
This requires using reservoir models that include significant level of uncertainty due to ambiguity of the reservoir and geological parameters used.
Latin Hypercube Sampling (LHS) approach was applied to evaluate various dynamic uncertain parameters with different distributions profiles.
Numerous realisations of the reservoir models were also generated to provide a confident level of geological uncertainty by a sequential Gaussian simulation algorithm.
Various completions such as Open-hole, Inflow Control Devices (ICDs) and Autonomous Inflow Control Devices (AICDs) were deployed in horizontal wells to investigate the uncertainty management by the well completions.
The results showed AICDs completions are more appropriate to reduce the production of the unwanted fluids and increase oil recovery than ICDs.
Moreover, overall as well as the individual impacts of the uncertain parameters on oil production profile were evaluated by statistical analysis.
This helps determining the most influencing parameters on the production profile as well as the most influenced uncertain parameters when AWCs are deployed.
The results showed that although both of the AICDs and ICDs completions significantly reduce the oil production variations comparing with Open-hole completion, AICDs completions perform much better than the ICDs to manage the effects of the reservoir uncertainties on oil recovery.
The study aims at providing approaches quantifying the impacts of AWCs on the reservoir uncertainties and confirming the long-term benefits of AWCs while reducing the risk associated with the field's development plan.
Related Results
Wellbore Segmentation using Inflow Control Devices: Design and Optimisation Process
Wellbore Segmentation using Inflow Control Devices: Design and Optimisation Process
Abstract
Inflow Control Devices (ICD) optimize production, delay water influx, eliminate / minimize annular flow, and ensure a uniform inflow along the horizontal we...
Production Optimisation of Heavy Oil Wells Using Autonomous Inflow Control Devices
Production Optimisation of Heavy Oil Wells Using Autonomous Inflow Control Devices
Abstract
The uneven distribution of the production influx from the reservoir into the wellbore has been identified as the main issue in the management of production ...
Genetic-Like Modelling of Hydrothermal Dolomite Reservoir Constrained by Dynamic Data
Genetic-Like Modelling of Hydrothermal Dolomite Reservoir Constrained by Dynamic Data
This reference is for an abstract only. A full paper was not submitted for this conference.
Abstract
Descr...
Dynamic Characterization of Different Reservoir Stacked Patterns for a Giant Carbonate Reservoir in Middle East
Dynamic Characterization of Different Reservoir Stacked Patterns for a Giant Carbonate Reservoir in Middle East
Abstract
Understanding reservoir stacked styles is critical for a successful water injection in a carbonate reservoir. Especially for the giant carbonate reservoirs,...
Insurance Value of Intelligent Well Technology against Reservoir Uncertainty
Insurance Value of Intelligent Well Technology against Reservoir Uncertainty
Abstract
Significant challenges remain in the development of optimized control techniques for intelligent wells, particularly with respect to properly incorporating ...
Granite Reservoir Prediction Based on Amplitude Spectrum Gradient Attribute Post-Stack Cube Attribute and Pre-Stack Fracture Prediction with Wide Azimuth Seismic Data
Granite Reservoir Prediction Based on Amplitude Spectrum Gradient Attribute Post-Stack Cube Attribute and Pre-Stack Fracture Prediction with Wide Azimuth Seismic Data
Abstract
Granite "buried hill" oil pool is an unconventional oil pool which can be formed a large and highly effective oilfield in some basins such as Bach Ho oilfie...
Novel Workflow to Optimise Annular Flow Isolation in Advanced Wells
Novel Workflow to Optimise Annular Flow Isolation in Advanced Wells
Abstract
Advanced well completion with multiple, downhole flow control devices such as Inflow Control Devices (ICDs), are a proven and effective solution to mitig...
Dynamic Characterization of Different Reservoir Types for a Fractured-Caved Carbonate Reservoir
Dynamic Characterization of Different Reservoir Types for a Fractured-Caved Carbonate Reservoir
Abstract
Understanding reservoir types or reservoir patterns is critical for a successful development strategy decision in carbonate reservoirs. For the fractured-ca...

