In this thesis, an automatic control performance monitoring tool is analyzed and evaluated. The tool is called Control Loop Asset Monitor (CLAM) and is a part of the Asset Optimization extension to the ABB platform System 800xA. CLAM calculates and combines a number of performance indices into diagnoses. The functionality, choice of configuration parameters and the quality of the result from CLAM have been analyzed using data from the pulp mill Södra Cell Mörrum. In order to get reliable diagnoses from CLAM, it is important that it is correctly configured. It was found that some of the default parameters should be modified and the recommendations in the user guidelines should be updated. Using the current default parameters, there are some combinations of indices that never can exceed defined alarm severity thresholds. The conclusions in this thesis have been documented in an online help that also includes simple user instructions for how the results from CLAM should be interpreted. The results have been analyzed together with the staff at Södra Cell Mörrum in order to validate that they are correct and relevant from a user perspective. It was found that the results are correct, but there are some things that can be improved in order to make CLAM more user friendly.

A partnership between oilfield operators and the federal government in the coupled CO₂ enhanced oil recovery (EOR) and storage projects brings long-term benefits for both. We quantify the win-win condition for this partnership in terms of an optimum storage tax credit. We describe the field-scale design optimization of coupled CO₂-EOR and storage operations from the viewpoint of oilfield operators. We introduce a CO₂ market model and investigate two special CO₂ market problems, namely a fixed storage requirement and an integrated asset optimization. The first problem follows an environmental objective by giving priority to the storage element of CO₂-EOR and storage; the second prioritizes the oil recovery and relies on the principles of a free market where CO₂ is a commodity and the commitment to storage is made based on the economic benefits. We investigate the CO₂ market sustainability conditions and quantitatively derive them for the fixed storage requirement and integrated asset optimization problems. Ultimately, we quantify the impact of storage tax credit on the operator benefits, the federal government benefits, and the optimum economic storage capacity of an oilfield. CO₂ EOR-storage projects are long-term and capital-intensive and therefore vulnerable to the risks of the CO₂ market. Two important uncertain economic parameters are investigated, the oil price and the storage tax credit. The government plays an important role in reducing the CO₂ market risks because it has the leverage to regulate the storage tax credit. The stochastic optimization results show that a transparent storage tax credit reinforces the sustainability of the CO₂ market and helps both the government and the oilfield operators boost their long-term benefits. / text