We offer technological and economic assessments of production strategies. Our goal is to find which production technology can maximize asset performance in terms of barrels produced or net present value (NPV). In our consulting services we take an independent stance towards products of various suppliers to evaluate for a specific asset what the benefit of each solution is, and further optimize deployability of the production strategy.
The strength of our approach is the use of validated production models to predict the impact of each technology option on asset performance. Such models are case specific and often contain various parts of the production system: reservoirs, wells, as well as top-side equipment. It is crucial that the developed solution is fit for purpose and accurately describes all relevant physics and phenomena including static, dynamic and thermal interactions of the system. Using this model-based analysis approach many potential problems can be identified prior to deployment, therefore increasing reliability of your systems. Using TNO methodology a typical project consists of the following steps:
Our service includes a combined techno-economic evaluation. This service also includes project screening and ranking, taking into account static (undiscounted) and dynamic (discounted) economic indexes. Economic performance is still the Achilles heel of production optimization technologies that have been emerging over the last 5-10 years under the umbrella of integrated operations, intelligent fields, smart fields and the digital oil field. In-spite of the potential promise that these technologies hold, the economic benefits are not always apparent. TNO has developed a structured and thorough understanding of the benefits of production optimization.
The featured field case is of a maturing thin oil rim of a major IOC. The operator wanted to shift from intermittent production to continuous production. Wells on the asset were experiencing gas breakthrough and frequently need to be shut-in for an extended period of time. These wells showed severe waxing tendency and needed to be scrapped frequently. On request from the operator TNO investigated and showed that installing automated flow controllers at the wellhead and deploying a dynamic control strategy over these valves could bring the wells to continuous production. The key challenge of the project was modeling the strong relation between gas coning behavior (which is co-dependent on the well and reservoir), water production and the thermodynamics of wax deposition. For example: a low production rate yields favorable gas coning behavior, but on the downside results in severe waxing problems. The solution was to design automated well head flow control to operate in a window where the effects of waxing and coning would be minimal.