Energy Efficient Drainage - SP7

Research Scientist
+47 48 04 40 41

This subproject analyses the energy use for different reservoir drainage strategies. Potential reductions in energy use will be identified, both for implementation on short time scales in mature fields, and on longer time scales for new field developments. The work is performed in close cooperation with industry partners.

Main objective

Assess and quantify energy use coupled to subsurface flow processes for relevant drainage strategies and identify potential for energy reduction while maintaining focus on maximising oil and gas recovery. Focus in 2021 has been on:

  • identifying potential technologies and strategies to reduce energy use in production
  • assessing effect of technologies on field scale models, quantifying energy use and reduction potential
  • further developing optimisation framework to enable maximised oil and gas recovery combined with reduced energy needs and costs

Results 2022

MAIN RESULTS IN 2022

  • The tool for calculation and visualisation of energy dissipation in the subsurface developed in 2020 has been revisited and updated. Optimising the code resulted in a speedup of 100 for the most time-consuming part of the code, making the tool more applicable for field scale use.
  • Effect of changing production tubing size for increasing water cut production has been studied using the multiphase simulator LedaFlow. Varying the production tubing did not significantly change the flow regimes to give less pressure drop in the wells.
  • The simulation of using water shutoff technology on the modified Norne field model to reduce energy consumption was finalised. Large reduction in energy used for water injection and production can be achieved, but with a penalty in reduced oil production.
  • The work on an integrated topside-subsurface model together with SP8 is continuing. A summer student made the first prototype of a fully coupled model. The work is done in collaboration with the DigiWell project (KSP-project).
  • A case study investigating different options for sequestering CO2 captured from offshore gas turbines was started. The study considers injection of carbonated water in an oil field or aquifer as well as transport by ship or pipeline to existing or nearby storage sites.
  • Four conference contributions and two journal
    papers were produced.

IMPACT AND INNOVATIONS

  • Potential for reduction of energy use and CO2 emissions have been shown by use of water shutoff technology on generic field scale models.
  • Methodology for co-optimisation of oil and gas production, energy use, emission and costs have been applied to several drainage strategies.
  • Tool for analysing energy dissipation in the subsurface has been constructed.
Initial oil saturation in the modified Norne field model used in SP7 for field scale assessment of drainagestrategies to reduce energy consumption. The model has 7 water injection wells and 11 oil productionwells.

Results 2021

MAIN RESULTS IN 2021

  • A tool for setting up and quantifying energy consumption of water injection systems has been constructed.
  • A simulation framework for quantifying effect of water shutoff technology on oil production and reduced energy consumption in field scale reservoir drainage has been developed.
  • The effect of using DAR-technology for water shutoff on oil production and potential for reduced consumption was assessed for the modified Norne E-segment model.
  • The effect of improved inflow performance on energy use and potential for reduction was evaluated on field scale generic models.
  • A method for collaborative optimisation by shared objective function data was developed to speed up field scale joint optimisation of oil and gas production and CO2 emissions.

IMPACT AND INNOVATIONS

Expected innovations are:

  • Assessment methodology for energy consumption for relevant drainage strategies
  • Methodology for co-optimisation of oil and gas production, energy use and costs
  • Guidelines for selecting energy-efficient drainage strategies.

Results 2020

  • Presented an overview of candidate technologies for reduced energy use related to drainage.
  • Created models for simulating effect of inflow devices in wells for reduced energy use associated with water production.
  • Prepared modified subsurface models of the Norne field and the Norne E-segment. The models will be used for studying water-based drainage strategies. The simulation models were tested in commercial and open-source simulators, and the modified Norne model was used in a case study for SP6.
  • A methodology for joint optimisation of oil and gas production and CO2 emissions was developed through coupling of reservoir, subsurface and topside models. Optimisation is implemented in the open-source software FieldOpt (NTNU).
  • A prototype for visualisation of energy dissipation in the reservoir was developed.

Expected innovations are:

  • Assessment methodology for energy consumption for relevant drainage strategies
  • Methodology for co-optimisation of oil and gas production, energy use and costs
  • Guidelines for selecting energy efficient drainage strategies.
Capillary pressure, caused by interfacial tension (IFT) between reservoir fluids is the most basic rock-fluid property in multiphase flow. Image of high pressure, high temperature, pendant drop IFT measurement cell.
Capillary pressure, caused by interfacial tension (IFT) between reservoir fluids is the most basic rock-fluid property in multiphase flow. Image of high pressure, high temperature, pendant drop IFT measurement cell.

Results 2019

This SP analyses the energy use for different reservoir drainage strategies. Potential reductions in energy use will be identified,  both for implementation on short time scales  in mature fields, and on longer time scales for new field developments. The work is performed in close cooperation with industry partners.

Main objective

Reduce the energy use related to subsurface flow processes. Assess and compare drainage strategies to reduce energy needs while maintaining focus on oil and gas recovery.

  • Assess drainage strategies to quantify energy use related to reservoir flow and identify potential reductions
  • Develop optimization framework to enable maximized oil and gas recovery combined with reduced energy needs and costs.

Main results

  • Industry meetings to get feedback on project plans and to request data and models.
  • Scope of work and detailed work plan for the first two years defined.
  • Collection and screening of generic models to be used in the SP.
  • Modified Norne field model selected for field case studies (figure).
  • Announcement and selection of the first PhD candidate. The PhD will focus on developing a framework for co-optimization of energy use and hydrocarbon recovery.

Impact and innovations

Expected innovations are:

  • Assessment methodology for energy consumption for relevant drainage strategies
  • Methodology for co-optimization of oil and gas production, energy use and costs
  • Guidelines for selecting energy efficient drainage strategies.
Norne Field model, made available by The Open Porous Media Initiative (OPM).