... institute germany rock type natural language university communication deviation system rig azimuth sensor d-wis information Introduction As the drilling industry embraces automation, there is a need to develop multi-disciplinary teams and strategies that facilitate the broader and more...

... information probability rig data sequence operation reliability drilling operation Introduction The integration of high-frequency rig data with downhole telemetry systems has become a cornerstone of modern drilling operations, enabling real-time decision-making, enhanced automation, and advanced...

... analysis. The barriers to doing this include equipment cost and reliability, telemetry bandwidth from downhole to surface, and availability of expertise in data interpretation. In this paper it is shown how valuable drilling dynamics information can be acquired using accelerometers and magnetometers...

... cleansing method that enhances the quality of critical input parameters for various drilling-related models. The proposed approach seamlessly integrates information from multiple models, real-time data, and a comprehensive database to ensure precise and consistent correction of drillstring specifications...

... Abstract Analyzing and visualizing drilling data is critical for optimizing operations and informed decision-making. As the drilling data are mostly structured data coming from downhole sensors and drilling equipments, traditional methods to analyze these data often require programming skills...

... deviation drilling operation well planning drilling data acquisition machine learning centerline sedimentary rock unconventional play rock type artificial intelligence build rate maximum build rate resistivity value confidence interval actual well trajectory boundary information trajectory...

... and enables the end-user to make informed decisions at the planning stage. The developed system has to cope with the presence of uncertainties, the possible occurrence of incidents that may affect overall drilling performance, and a large variety of possible scenarios. The analysis of a given well plan relies...

... artificial intelligence drilling data acquisition workflow application dysfunction conference and exhibition engineer bit selection mwd efficiency algorithm automation data quality drilling measurement platform data analysis information key performance indicator real time system evaluation...

...-machine interface, layout, work environment and workload. The main findings in the driller's cabin were information overload and screen clutter, inadequate workplace ergonomics and work environment, and distractions from core tasks for the driller. As an underlying reason, a lack of a holistic, human...

... of the system, the paper presents the system’s prototype, its testing, and several use cases of its applications. driller joystick control system artificial intelligence functionality information data mining vibration situational awareness department trondheim haptic feedback drill string...

... dynamics information that cannot be seen from measurement-while-drilling (MWD) shock and vibration measurements; hence they provide post-run information that can be used throughout the pad to optimize the drilling process. A new mud motor has been developed that can transmit real-time drilling dynamics...

... to support well-informed decision-making, a monitoring team, and a data storage and dissemination display. This paper details a decade of experience with a real-time solution that has been used to monitor hundreds of wells in Brazil, Colombia, and the United States of America. The technology incorporates...

... affect optimal sidetrack trajectory. Compared to the conventional sidetrack design process when complex constraints are involved, our method can be a game changer as it only cost seconds to investigate the objective subjected to the target and various constraints information. sidetrack trajectory...

... board input power thermal management system bulkhead information sensitivity Introduction As mentioned by the International Renewable Energy Agency in 2017, within 10 km of the Earth's surface, there is an estimated amount of heat containing 50.000 times more energy than all global oil...

... Summary Oil and gas activities generate, inevitably, huge amounts of data, especially in the form of Daily Operational Reports during construction and production activities. Extracting information from these reports can be achieved using embeddings combined with Large Language Models (LLMs...

... shapes ( Fig. 3 ). The information communicated to the user by a tunnel-like view is remarkable, vastly superior to that of multiple curves. Visualizing the time lapse images in succession, often dubbed the 4 th dimension, remains however a challenge. Abstract Time lapse borehole images provide...

.... This means that the SPs can be used as the building blocks for any program written for a well of that Preliminary Well Design. SPs contain a variety of information: activities with operations codes, checks, and steps. The operations codes allow each activity to be mapped to the Engineer’s Data Model (EDM...

... condition vs liner and casing running information which holds very useful technical insights about how each wellbore parameter quantitatively affects the wellbore quality. The paper will describe how this process has now been applied to over 50 hole sections, and how it has improved decision making...

... Abstract Finding information across multiple databases, formats, and documents remains a manual job in the drilling industry. Large Language Models (LLMs) have proven effective in data-aggregation tasks, including answering questions. However, using LLMs for domain-specific factual responses...

... on well construction progress. By providing direct, context-aware answers to queries, LLM empowers the industry to make more informed decisions, optimize processes, and efficient data gathering. While LLMs like GPT and similar AI technologies hold promise in revolutionizing well construction...