..., drilling, reaming, etc), and detect symptoms related to differential sticking, hole cleaning issues, mechanical sticking, pack offs, tight holes, obstructions and other risks by analyzing standard surface drilling time logs in real-time, such as hookload, WOB, RPM, bit depth, mud pressure, etc. The ML...

... processing (TLP) in drilling context, and (2) classification of NPT causes. The two-step approach mentioned above results in a framework for mining unstructured reports to detect anomalies like symptoms, events, and actions. A modified NLP, referred here as TLP in the drilling context is used to achieve...

... is that we are drowning in data. The event symptoms become lost or go unrecognized until it is too late. Early identification of symptoms as they occur while drilling in real time is critical to provide actionable information to the drilling team well ahead of the potential incident. The methods used...

... in the offshore oil industry. Introduction In 1965 men were first compressed to 600 ft (183 m) for 4 hours and 800 ft (244 m) for 2 hrs at rates of 91 ft/min (27.7 m/min) to produce the first report of signs and symptoms, initially attributed to the helium but later to the pressure itself, and called the High...

... to the offshore industries some fruitful areas for the best research use of money and talent. symptom partial pressure oxygen diving decompression health & medicine upstream oil & gas ata lung water depth ventilation ocean system toxicity contractor blood safety physiology us...