![]() The industry has significantly improved drilling performance based on knowledge from multiple models of components and systems. Pastusek, P., Payette, G., Shor, R., Cayeux, E., Aarsnes, U.J., Hedengren, J.D., Menand, S., Macpherson, J., Gandikota, R., Behounek, M., Harmer, R., Detournay, E., Illerhaus, R., Liu, Y., Creating Open Source Models, Test Cases, and Data for Oilfield Drilling Challenges, SPE ATCE, March 2019, SPE-194082-MS. This repository is in support of the open source model, data, and case study initiative as detailed in the publication, Creating Open Source Models, Test Cases, and Data for Oilfield Drilling Challenges, SPE-194082-MS. A soft string model does not include the effects of borehole interaction with the drill string. Stick slip is simulated with bit boundary conditions that simulate periods of stuck bit followed by a rapid release of the stored potential energy. The combination of the individual segments may be used to predict rotational vibration. Rotational vibration dynamics are predicted with a soft string model that is broken into individual string segments that include rotational inertia, frictional, and spring effects. Managed Pressure Drilling Hydraulic model that predicts pressure and mud flow at the bit and choke with changes in density, mud pump flow, and choke valve position. Process Research and Intelligent Systems Modeling MPD Hydraulics Models are in the GEKKO Python modeling and optimization language but may also be available for other environments as well such as MATLAB. Additional models are added to the repository as the open source initiative grows. The intent of this repository is to include self-contained code examples that are based on several sub-processes of drilling including hydraulics for pressure prediction, drill string dynamics, draw works, rate of penetration, and directional drilling. This repository contains open source models of oilfield drilling processes. ![]()
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