Geological and Reservoir Engineering aspects of deepwater Field Development Planning


Duration: 5 days

Business context

Deepwater E&P projects are typically high cost / high risk / high reward projects. To mitigate and manage the technical and economic risks of deepwater projects it is essential for all staff involved in such projects to have a sound understanding of the key characteristics of deepwater hydrocarbon accumulations.

Who should attend

Designed for practicing subsurface professionals who need to acquire a sound understanding of deepwater reservoir systems. Geoscientists and other subsurface engineers who have recently joined (or are about to join) an FDP team tasked with planning the appraisal and development of a deepwater turbidite hydrocarbon accumulation.

Prerequisites:  Awareness of the basics of soft rock geology and/or reservoir engineering including knowledge of subsurface technical workflows.

Course content

This course provides an overview of the geological and reservoir engineering aspects of the field development of deepwater hydrocarbon-accumulations. Though the full range of deepwater oil & gas reservoirs is covered, focus is on providing participants with a sound understanding of clastic turbidite systems. Emphasis in the geology part of this course is on the various controls on reservoir architecture and reservoir properties within a turbidite system. The reservoir engineering part of the course covers the 'why and how' effects on FDP decision-making due to these spatial variations in reservoir architecture and reservoir properties.

Learning, methods and tools

Learning outcomes:

  • to identify based on geological concepts and using seismic and well data (logs / cores / well tests ) the likely reservoir architecture and reservoir properties of a turbidite-hosted hydrocarbon accumulation
  • to identify the key implications of the inferred characteristics for both their own discipline and for the Field Development Project as a whole
  • to translate the inferred characteristics into a recommended data gathering strategy
  • to efficiently handle the subsurface uncertainties
  • to communicate effectively about these technical  issues with the other disciplines involved in the project
  • to contribute effectively to managing and mitigating risks to exploration and/or development activities in deepwater E&P projects.

Day by day programme

 

 

 

 

 

Day 1

Deepwater petroleum systems & deepwater sedimentation

  • Course Intro & refresher on role of soft rock geology in the Oil Industry
  • Overview of deepwater petroleum systems including source rocks
  • Deepwater sedimentary systems
    • Deepwater mass-flow sediment transportation
    • Deepwater contourite sediment transportation
    • Deepwater clastic depositional systems

Course participants will gain a sound understanding of the geological characteristics and depositional origin of deepwater hydrocarbon resources. A clear distinction is made between hydrocarbon reservoirs that originally formed in shallow water environments but which currently occur in deepwater settings and deepwater reservoirs that were deposited in deepwater by mass-flow mechanisms.In deepwater settings a variety of mass-flow sediment transport mechanisms occurs, with debris flows and turbidites most important for the deposition of reservoir quality rocks. Participants will understand the controls on the occurrence and distribution of the different deepwater transport mechanisms. This is important for the prediction and modelling of the spatial variations in reservoir quality.

 

 

 

 

 

 

 

 

Day 2

Deepwater sedimentation(ctnd)

Reservoir characterisationof a turbidite deposit

  • Participants' learning points from the previous day
  • Deepwater carbonate sedimentary systems
  • Sea-level & sequence stratigraphic controls on deepwater deposition
  • Plate-tectonic controls on deepwater sedimentary systems
  • Reservoir characterisation of a turbidite reservoir
  • Seismic + Cores  + Logs + Sedimentology

Deepwater carbonate and clastic reservoirs are both similar and very different in their reservoir architecture and reservoir properties. For example clastic turbidites most commonly form during low sea-levels stands, whereas carbonate mass-flow deposits typically form during high sea-level stands. Identifying suitable reservoir analogues for a clastic turbidite reservoir requires a sound understanding of the plate-tectonic setting of the basin in question. Input data for reservoir characterisation requires combining seismic, log, core and sedimentological inputs.

 

 

 

 

 

 

 

 

Day 3

(morning)

Case studies

  • Participants' learning points from the previous day
  • Outcrop analogues
  • Submarine canyon-fills and other channel deposits
  • Angola
  • Nigeria

If time allows

  • North Sea
  • Gulf of Mexico

Focussing on channelized turbidite deposits a number of case studies will provide course participants with an understanding of how e.g. plate tectonic and sea-level setting, shelf slope or presence or absence of salt substrate, control the deposition and distribution of clastic reservoir rocks. This will include a group exercise in translating input data (seismic / logs / cores / geological concepts) into qualitative statements about reservoir architecture and reservoir property characteristics.

 

 

 

 

 

 

 

 

Day 3

(afternoon)

Reservoir dynamics: Field Development Plan

  • FDP Summary
  • Impact of turbidite environment on production behaviour
  • Impact of turbidite environment on FDP formulation
  • Thin bedded turbidites and production behaviour -
  • Reservoir modelling
  • Modelling thief zones, averaging
  • Use of the Hall plot

Case study:Deepwater production improvement and reservoir management

Topics:

K field experience -  Early production experience - waterflood optimisation -smart well design -monitoring

 

 

 

 

 

 

 

 

 

 

 

Day 4

Turbidite reservoirs: data integration and model construction

  • Participants' learning points from the previous day
  • Data collection and interpretation
  • Data types: Permeability, saturation, rock -fluid interaction, PVT
  • Modelling workflow 
  • Aspects of turbidite dynamic simulation modelling
  • Data integration and model construction - upscaling
    • Relative permeability handling and pseudo rel perms, Stiles and VE
    • Fault modelling
    • Well modelling
    • Aquifer modelling
  • Quality and consistency of the model
  • Surface-subsurface integration.

 Case study: Integrating data across disciplines

Topics:

North Sea experience - Integration of disciplines - depositional model scenarios - compartmentalisation - workflow for building sector models - impact of parameter uncertainty - use of Thomas Stieber analysis

 Well productivity

  • Slanted and horizontal wells - well options
  • Productivity and PIF
  • Impact of layered reservoirs / pressure drops in horizontal wells
  • What are the options, for a well trajectory in turbidite environment to get optimum productivity & recovery

 

 

 

 

 

 

 

 

Day 5

Turbidite well testing and uncertainty handling

  • Participants' learning points from the previous day

Well test options and well test design.

  • Options for well testing during appraisal phase to reduce the uncertainties
  • Well test objectives - table of objectives against test types
  • MDT and DST tests - Mini DST (SLB terminology) = Wireline Formation testing - view and data.
  • Permeability from wireline formation tests 
  • Wireline cased hole dual packer (Mini DST) and DST in turbidite environment.
  • Pressure transient analysis - classical well tests
  • Duration of well tests. Best options to reduce uncertainty by extending well tests.

 Case study: Complex reservoir architecture validated by well testing: turbidite well test example

  • Well testing in deepwater turbidites
  • DST operations - well test sequence
  • well test interpretation - tidal effects
  • Identification of channel model
  • (optional case )Extended Well Tests - Regulations NS

 Handling uncertainty 

  • The scenario method - How to use the Realisations method
  • Value of Information concept.

 Case study: Deep water reservoir uncertainty handling

  • Uncertainty management
  • Application of multi scenario approach - experimental design
  • Key subsurface uncertainties in turbidite environment

 Summary and close-out 

  • Post course questionnaire