Download - 01d Modelling and Optimisation

Upstream Process Engineering Course October 2000 Prepared by Genesis Oil and Gas Consultants Ltd Modelling and Optimisation1

Upstream Process Engineering Course

1. Modelling and Optimisation


BP’s Modelling Toolkit

• VIP (Halliburton) – geological Reservoir model• MBAL (Petroleum Experts) – simple reservoir model• Prosper/GAP (Petroleum Experts) – well and gathering

system, steady-state • Pipesim (Schlumberger) – flowlines, steady-state multi-

phase flow, flow assurance• OLGA (Scandpower) – wells, flowlines, dynamic

multiphase flow• HYSYS (Aspentech) – process facilities, compositional

modelling, steady-state and dynamics


Simulation/Optimisation Community of Interest (COI)

• Upstream Processing Network– http://upn.bpweb.bp.com/– Simulation/Optimisation COI leader Chuck Stewart (EPTG

Houston), [email protected] • Simulation website

– http://simulation.bpweb.bp.com/– HYSYS software downloads– Documentation

• HYSYS technical support:– http://support.aspentech.com/

• HYSYS installation support– Monica Averitt (SAIC Houston), [email protected]


Process Modelling

• HYSYS steady-state– Heat and material balances– Equipment sizing– Power consumptions– Physical properties

• HYSYS dynamics– Plant controllability– Plant operability


Simulation Best Practice

• Document all model assumptions– Make it easy for another person to understand the model’s purpose

• Establish the appropriate PVT model for the fluid system to be modelled.– Don’t assume it is always P-R– If inheriting reservoir fluid characterisation, check validity for

process conditions to be modelled– For guidance, consult the simulation/optimisation COI

• All significant equipment items should be explicitly included in the simulation – Separators, heat exchangers, distillation columns, compressors,

expanders, pumps, flow control valves, pressure control valves, and level control valves.


Simulation Best Practice (continued)

• Streams should be mixed at a single pressure– i.e. Pressure drop mechanism explicitly represented

• For operational models, process specifications should reflect actual control setpoints.

• Process specifications should be made only once in any simulation. – e.g. The HP separator pressure may also define the

required outlet pressure from associated LP compression.


Simulation Best Practice (continued)

• Use the HYSYS spreadsheet facility – to summarise all process specifications – to summarise all key output reports


Optimisation

• Use of a numerical solver together with a system model to advise strategy for improved operational performance.– Advice must be able to be implemented in an

appropriate time frame.

• Can be an on-line or off-line capability• On-line, closed loop implementation almost

always in conjunction with advanced control


Optimisation

• In E&P an asset or system model normally crosses engineering discipline boundaries– Reservoir

– Wells/gathering system

– Facilities

– Commercial

• Easy integration of discipline models required– E.g. Resolve from petroleum experts


Optimisation - Integrated asset Modelling

GAP wells model

Excel Economics Model

Hysys process model

Inflow performance

Tubing performance

Wellhead chokes

Gaslift injection

Gathering network

separation

Gas compressionProduct

export

Gas to injection wells

Magnus Integrated Model schematic

Water disposal

Qoil.O= $$

Allocation to wells **

Water inj pumps

Pressures **

Connection nodesData transfer between applications handled by Integration tool

Items marked ** are to be determined by optimiser

Legend

Gas for lifting wells

Oil treatment

GAP wells model

Excel Economics Model

Hysys process model

Inflow performance

Tubing performance

Wellhead chokes

Gaslift injection

Gathering network

separation

Gas compressionProduct

export

Gas to injection wells

Magnus Integrated Model schematic

Water disposal

Qoil.O= $$

Allocation to wells **

Water inj pumps

Pressures **



Legend



Legend

Gas for lifting wells

Oil treatment

HYSYS facilities model

Prosper/GAP well and gathering system model

EXCEL economics model

Magnus Gas-Lift Optimisation

Resolve Integration Environment


Modelling and optimisation - summary

The effective application of rigorous modelling and optimisation technologies directly supports the delivery of all 5 concepts within Production Efficiency Improvement (PEI) common process:

• Decide Installed Production Capacity (IPC). A fully validated on-line asset model provides a real-time calculation of IPC.

• Manage Historic Losses. Modelling is focussed on developing understanding and identification of the root causes of historic losses.

• Eliminating Future Losses. On-line models provide an inferential metering capability that can be used to alert operators of impending plant upset conditions.

• Growing IPC. Model based production optimisation is focussed directly on establishing the plant potential and full quantification of opportunities to grow IPC.

• Reviewing Performance and Sharing Knowledge. Holistic asset models allow all discipline engineers to understand the full impact of decisions and plant interventions. A maintained asset model, initiated at plant design and sustained into operate phase, acts as a plant knowledge base allowing staff learning of plant performance to be accelerated.

Download - 01d Modelling and Optimisation

Top Related