Bridging the gap between big data and physics for improved prediction of parent-child interaction and their well performances

References

1. Ouenes, A., Paryani, M., Aimene, Y., Hammerquist, C. and Bachir, A.
   [2019]. Surface Drilling Data for Constrained Hydraulic Fracturing and Fast Reservoir Simulation of Unconventional Wells. IntechOpen, DOI: 10.5772/intechopen.84759.
   https://doi.org/10.5772/intechopen.84759 [Google Scholar]
2. Jia, X., Willard, J., Karpatne, A., Read, J., Zwart, J., Steinbach, M. and Kumar, V.
   [2019]. Physics Guided RNNs for Modelling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles.SIAM International Conference on Data Mining, 558–566, Doi:10.1137/1.9781611975673.63.
   https://doi.org/10.1137/1.9781611975673.63 [Google Scholar]
3. Min, K., Sen, V., Ji l, Sullivan, R.
   [2018]. Optimization of Completion and Well Spacing for Development of Multi-Stacked Reservoirs Using Integration of Data Analytics, Geomechanics and Reservoir Flow Modeling.URTEC, 2897656-MS, doi.org/10.15530/URTEC‑2018‑2897656.
   https://doi.org/doi.org/10.15530/URTEC-2018-2897656 [Google Scholar]