Abstract Production logging tools (PLTs) and formation testing, even in while drilling (LWD) conditions during underbalanced drilling, are key technologies for assessing the productivity potential of a gas well therefore to maximize recovery. Gas bubble detection sensors components determining fluid phases reservoir accurately quantify recoverable reserves, optimize placement, geosteering quali...

Geosteering of wells requires fast interpretation geophysical logs, which is a non-unique inverse problem. Current work presents proof-of-concept approach to multi-modal probabilistic inversion logs using single evaluation an artificial deep neural network (DNN). A mixture density DNN (MDN) trained the "multiple-trajectory-prediction" (MTP) loss functions, avoids mode collapse typical for tradi...

In the last decade, oil industry has transitioned from primarily drilling vertical wells to a majority of extended reach complex horizontal with help geosteering techniques for better reservoir and production efficiencies. The overall objective well placement helped maximize contact by keeping trajectory in pay zone quality real-time data, especially these uncertain times pandemic due COVID-19....

Modern geosteering is heavily dependent on real-time interpretation of deep electromagnetic (EM) measurements. We present a methodology to construct neural network (DNN) model trained reproduce full set extra-deep EM logs consisting 22 measurements per logging position. The in 1D layered environment up seven layers with different resistivity values. A commercial simulator provided by tool vendo...

Deep learning (DL) is a numerical method that approximates functions. Recently, its use has become attractive for the simulation and inversion of multiple problems in computational mechanics, including borehole logging measurements oil gas applications. In this context, DL methods exhibit two key features: (a) once trained, they enable to solve an inverse problem fraction second, which convenie...

Abstract This review presents the latest update, applications, techniques of NMR tools in both laboratory and field scales oil gas upstream industry. The applications scale were thoroughly reviewed summarized such as porosity, pores size distribution, permeability, saturations, capillary pressure, wettability. is an emerging tool to evaluate improved recovery techniques, it was found be better ...

Abstract A data-driven automatic well planner procedure is implemented to develop complex trajectories by efficiently adapting near-well reservoir properties and geometry. The draws inspiration from geosteering drilling operations, where modern logging-while-drilling tools enable the adjustment of during drilling. Analogously, proposed develops based on a selected geology-based fitness measure ...

Abstract An Automatic Well Planner (AWP) is used to efficiently adjust pre-determined well paths honor near-well properties and increase overall production. AWP replicates modern geosteering decision-making where adjustments pre-programmed are driven by continuous integration of data obtained from logging-while-drilling look-ahead technology. In this work, combined into a robust optimization sc...