Well-Completion System Supported by Machine Learning Maximizes Asset Value

摘要

In this paper,the authors introduce a new technology installed permanently on the well completion and addressed to real-time reservoir fluid mapping through time-lapse electromagnetic tomography during production or injection.The variations of the electromagnetic fields caused by changes of the fluid distribution are measured in a wide range of distances from the well.The data are processed and interpreted through an integrated software platform that combines 3D and 4D geophysical data inversion with a machine-learning(ML)platform.The complete paper clarifies the details of the ML work flow applied to electrical resistivity tomography(ERT)models using an example based on synthetic data.