Abstract
The cloud-based formation evaluation platform aims to accelerate real-time subsurface domain insights and enable collaboration with domain experts during operations for faster and better decision-making. The proposed platform quickly creates a 3D near-wellbore reservoir model honoring geological trends that can be updated within minute-to-hours as new data are acquired and interpreted.
The cognitive E&P environment caters for real-time applications and near-real-time applications using PRISM and OSDU as their respective cloud architecture. The fast modelling is enabled by an innovative meshless smart structure algorithm that inputs the borehole geology interpretation to create an implicit function at the wellbore, which represents the geological trends, and populated with petrophysical properties using a combination of geostatistics and machine learning methods. The workspace and its content are available for visualization and download. The more complete the shared dataset, the higher the accuracy of the pre-job model.
The proposed cloud-based workflow provided a focal point for integration of all advanced well and seismic data streams presented in this paper and a stringent test for present-day reservoir realizations. The 3D contextualization of critical wellbore insights combining rock, fluid, and pressure enhances the real-time and near-real-time capabilities to properly evaluate different formations and productive reservoir intervals. Those capabilities accelerate real-time subsurface domain insights and enable collaboration with domain experts during downhole measurement operations for faster and better decision-making. Operational decisions and data acquisition programs need to be made in an operational timeframe, where derivatives from one or more sensors run may affect decisions for subsequent data acquisition runs in the well and future rig activities.
The case study was created with data from the public datasets published by National Petroleum Agency (ANP). Apart from drilling data such as mud-logs, logging while drilling logs, and deviation well surveys, the available wireline well datasets include high quality image logs, dynamic pressure measurement, downhole fluid scanning stations, and advanced petrophysical logs. The data integration of wells was interpreted with the surface seismic providing a connection among the presalt wells for a proper 3D near-wellbore modeling.
Data from different sources can now be consumed using the cloud-based wellbore measurement workflow. The coupling of dynamic and fluid data with the facies identification provides a means to incorporate fluid data into a geo-model at early stages of reservoir evaluation. The results of this integrated analysis can be potentially used to develop a geo-scenario, which is the sequence of major events that occurred in the reservoir, both rock and fluid, over geologic time.
