Raymond Mitro, Vice President for Field Development, ZADCO
Session Chairs: Paul Crumpton, Saudi Aramco; Richard Torren, Schlumberger
The term ‘integrated asset model’ (IAM) was originally coined by BP in the early 1990’s to describe a simulation software application which represents a holistic picture of an oil and gas asset including a representation of reservoir, wells, surface gathering system and facilities. Today, simplistic IAM’s are widely used by oil and gas operators using simple inflow equations or material balance models. Whilst useful in many cases, these models lack the complexity to describe complex fields (naturally fractured reservoirs, gas condensate, heavy oil, etc.). With the recent step changes in computing power, the ability to leverage very sophisticated engineering models in both planning and operations has opened up new possibilities. This session explores some of the cutting edge technologies in the field of integrated asset modelling. This is intended to include the application of numerical reservoir simulation, advanced well modelling, techniques for integration of well and surface facility models, application of transient production simulation, and advance simulation control systems.
Session Chairs: Jayant Amur, ZADCO; Kassem Ghorayeb, Schlumberger
Field development planning is the critical element that aligns the short term decisions, medium term project objectives, and long term provisions in the subsurface systems (drilling plan, well definition, provisions in well completion) and the surface systems (sizing of main components, phasing of the equipment, provision of space for the facilities from well head to the crude oil export). Large complex fields could have definitive medium term field development plan followed by multiple options for the sustainable phase of the field. Several options such as gas-lift, ESP’s, gas injection, WAG, inert gas injection could be considered.
The traditional approach used is to treat the surface and subsurface developments separately. The optimisation between the two development plans such as choice between gas-lift versus ESP’s, amount of gas-lift, water injection duration, and water cut evolution was difficult to align.
Integrated asset modelling allows integrated field development planning providing consistent and realistic input to the subsurface and surface projects. Sensitivity runs allow the multiple long term development options to be analysed and provide the long term perspective for the medium term decisions. The integrity asset management plan can also be integrated in the long term plan to facilitate decision making for upgrading equipment or replacing the equipment.
Session Chairs: Preben Jensen, DONG Energy; Satinder Malik, Shell
Why don’t we turn the model sequence around and look at how integrated asset modelling can assist in production optimisation and reservoir management. Many of us have participated in projects to improve production of increase reserves just to find that some "unforeseen" bottleneck or interference has been overlooked and prevented us from reaping the full value of our project. IAM has a great role to play in improving our short to medium term forecasting through integrated production optimisation allowing us to improve and/or accelerate production and hence maximising recovery. The significant improvements in data acquisition and management can further enhance these aspects, and the system can add in identifying the real areas of improvement within our assets. This session will focus on experience from the industry—how do we actually use the tools available, what is the best level of modelling, what are the strength and weaknesses of the tools, how do we take advantage of the achievements in IT.
Session Chairs: Levin Barrios, Qatar Petroleum;Tamer Saada, BG Group
In this session, both non-technical and technical challenges in the application of integrated modelling will be addressed. The former includes the organisational accountability of IAM in terms of functions, use, coordination, and support, besides the ability to tackle wide range of short-term and long-term conflicting objectives. The latter includes integrated modelling tools effectiveness, efficiency and usability improvement, sustainability to resolve the complexity of modelling the entire asset in one model integrating different simulators and analytical models which have different solution algorithms, and in many cases are third party applications and not open for integration besides the computational power. This will also include discussions on the availability of industry expertise and whether it is enough. Are our engineers appropriately trained? Do they need more support from the tools development and engineering community? And how the industry can overcome these challenges?
The primary goal is to brainstorm potential frameworks to advance the knowledge of the integrated modelling approach in order to meet sustainable development and reservoir management objectives.