Oil and gas production handbook An introduction to oil ... - ABB Group

Optimal production targets and maximum utilization of production resources
are achieved through the use of several sources of information, such as
reservoir mass balance calculations and depletion strategies, well test
results and use of simulation models. This is made possible by linking skills,
data and tools together in real time – independent of location.
Some of the enabler technology areas are:
1. A system and communication IT infrastructure
2. Applications for remote operations and remote operations support
3. Reservoir management and drilling operations
4. Production optimization
5. Information management systems
6. Operation support and maintenance
8.2.1 Reservoir management and drilling operations
Solution for data acquisition, modeling
and visualization between facility
operators and central company experts
to provide:
• Drilling simulation and
visualization, automatic
diagnostics and decision
support, real-time measurements
while drilling in order to locate the best targets
• Reservoir models based on real-time reservoir data, analysis of 4D
seismic, in-situ measurements of changes. On-line integration with
well-serviced company data
• Optimization models for increased production, based on in-reservoir
properties during production, with decision support incorporated to
improve productivity
8.2.2 Production optimization
Optimizing the production or improving productivity is a complex problem. In
addition to the production optimization of the downhole, subsea and topside
process, one has to consider operational costs, hardware damage, reservoir
performance, environmental requirements and operational difficulties within
each well and/or topside. To further complicate optimization, the individual
challenges will change over time, e.g., reservoir behavior changes as an
effect of depletion, shutdown of wells due to slugging, failed sensors and the
change of efficiencies within the topside process system. Some of the
applications included in production optimization are:
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