SPT Group is successful in turning basic research into profitable software products and consulting services to the oil and gas industry. With full intellectual property rights to all its products, SPT Group develops and markets OLGA®, edpm®, Drillbench® and MEPO®, software products that support solutions maximizing production and reservoir performance. SPT Group is headquartered in Oslo, Norway, and has subsidiaries in Bergen, Cairo, Dubai, Hamburg, Houston, Kuala Lumpur, London, Mexico City, Milan, Moscow, Rio de Janeiro and Perth; in addition to an extensive network of agents and representatives worldwide.
SPT Group’s more than 30 years of growth and success is a history of the oil and gas industry cooperating continuously to develop opportunities for challenging field developments. This is the historical enabler of multiphase flow transport, saving the industry billions in investments on all types of hydrocarbon field developments.
Life Cycle Simulation
Dynamic modeling provides key design requirements and is essential for maximizing the production window. Assuring stable production (flow assurance) throughout the field life is the main focus for detailed analysis with OLGA – the industry standard for multi-phase pipeline simulation.
Starting in the 1980s, OLGA was developed as a cooperation between the Institute for Energy Technology (IFE), SINTEF and a group of major oil companies. SPT Group has had the rights and responsibility to develop, maintain, and market OLGA since 1989. The product is continuously improved to reflect the latest challenges presented in an increasingly demanding market. SPT Group has over the years committed more than USD 150 million in the development and maintenance of the product, which is used in more than 250 sites worldwide. Successful design and operation of multiphase production systems rely on detailed understanding of flow behavior. OLGA provides solutions through accurate modeling of true dynamics; further development of the product includes solutions for accurately modeling the flow in wells, CO2 transport and sub-sea processing. OLGA Online is rapidly becoming the industry standard for multiphase dynamic production management systems. Using OLGA in an online environment, OLGA Online provides operators with information from parts of the production system that instrumentation cannot reach; this allows the deployment of advanced operation advisors for solving defined flow assurance problems. An open structure gives ready access to third party software developers and operators, enabling further innovations and connectivity. Currently, OLGA Online is used on over 20 projects around the world, ranging from gas-condensate and deepwater oil systems to advanced drilling operations. OLGA Online has proven to optimize production and reduce costs.
“From Troll and Aasgaard, through new developments, such as, Ormen Lange and Snøhvit – OLGA has been a technological enabler to ensure multiphase production to shore.”
Technology for challenging drilling operations
The demand for oil and gas is pushing the industry into increasingly challenging areas. Much of the remaining reserves are located in deep water or deep reservoirs with high or extreme pressure and temperature conditions. Based on the results of two decades of drilling research and development in Norway – Drillbench focuses on well control and drilling hydraulics. More than 20 million USD has been invested in modeling of the drilling process, small and full-scale experiments, and verification projects. Drillbench was used successfully during the drilling of Hydro’s first deepwater exploration well in Angola. ”The well was drilled deeper than the originally planned and Drillbench® was important to stretch the well design with the result of saving one casing string.”
Fast History Matching & Uncertainty Assessment
Reservoir simulations are usually assumed to be reliable if they reproduce the production history, but are there other models that match the history, and do these models produce the same predictions? It has always been recognized that the best match does not necessarily mean the best prediction, and that there will always exist a range of good matches based on different parameters. These different scenarios result in a spread of future predictions, illustrating the inherent uncertainty of the reservoir model and ultimately the volume of hydrocarbons to be produced. MEPO enables simulation engineers to generate a representative range of possible history matches, assess these based on quantitative measures, and has proven to lower costs and increase confidence in field development decisions.