Abstract: Some implementations include a method for predicting closure of a subsurface safety valve (SCSSV) configured to shut-in a well without any sensors on the SCSSV. The method may include obtaining, by a learning machine, sensor readings indicating downhole conditions in the well. The method may include predicting, by the learning machine, closure of the SCSSV based on the sensor readings indicating downhole conditions in the well. The method may include transmitting a communication predicting closure of the SCSSV.

Abstract: Various embodiments of the present technology generally relate to systems and methods for secure customer data handling. More specifically, some embodiments relate to handling of derivative data as a provider in a manner that supports security and provides a stronger level of control over the data. The solution supports four core principles of customer data handling: no export of customer data, unless authorized; remote operations only via shell access or equivalent; temporary and task-based privileges; and diagnostic data to be ephemeral. The customer data handling system herein includes a central repository for the storage of diagnostic data, an upload tool for uploading to the central repository and automated staging on containers, a diagnostic virtual machine that enables task-based access to diagnostic data and analysis tools hosted on a dedicated container, and an application for handling requests, provisioning and staging containers, and purging.

Abstract: Various embodiments of the present technology generally relate to systems and methods for secure customer data handling. More specifically, some embodiments relate to handling of derivative data as a provider in a manner that supports security and provides a stronger level of control over the data. The solution supports four core principles of customer data handling: no export of customer data, unless authorized; remote operations only via shell access or equivalent; temporary and task-based privileges; and diagnostic data to be ephemeral. The customer data handling system herein includes a central repository for the storage of diagnostic data, an upload tool for uploading to the central repository and automated staging on containers, a diagnostic virtual machine that enables task-based access to diagnostic data and analysis tools hosted on a dedicated container, and an application for handling requests, provisioning and staging containers, and purging.