| Title | Algorithm for Optimal Well Placement in Geothermal Systems Based on TOUGH2 Models |
|---|---|
| Authors | Dagur HELGASON, Ágúst VALFELLS, Egill JÚLÍUSSON |
| Year | 2017 |
| Conference | Stanford Geothermal Workshop |
| Keywords | resource management, well placement, algorithm, optimization, tough2, python, pytough, reservoir engineering |
| Abstract | In a world of ever increasing use of renewables geothermal has lagged behind and has seen little growth compared to other renewables due in part to its high capital cost. Geothermal wells account for about a third of the capital cost and it is therefore important to ensure the highest possible success rate and value creation from these wells. In order to address this, an algorithm has been developed that utilizes a numerical TOUGH2 model of a geothermal system to evaluate the optimal well placement based on a net present value estimation. The algorithm does this by using forward simulation of production for multiple potential well locations and estimating the net present value of each potential location. The algorithm is capable of using both deliverability wells and wellbore files. The algorithm was tested using a hypothetical model and found the optimal wells to be in the hottest parts of the model at depth, when using the deliverability setup, and in the upper heat zone, directly above the heat source, when using the wellbore file setup. The algorithm shows promise but has some faults and limitations, especially in the deliverability setup. |