.... This approach aims to improve operator safety, achieve early detection of greenhouse gases, and enhance the efficiency of asset integrity management. ogi camera robot acquisition workforce app artificial intelligence background ogi sensor payload air emission integration sensor sd card...

... and durability in challenging drilling environments. The approach started with the deployment of a legacy drill bit design having traditional round cutters equipped with downhole sensors to drill out casing equipment and target formations. Data from these runs were then analyzed to optimize drilling parameters...

... advancements, offering improved capabilities and accuracy. This document aims to detail the design, implementation, and testing of both the solutions. asset integrity controller asset and portfolio management sensor inspection artificial intelligence operator camera system ground station drone...

... solutions to enhance drilling efficiency and reduce Non-Productive Time (NPT), which are critical to any drilling project. As a result, use of downhole drilling sensors has become increasingly common, from vertical to complex well profiles. These sensors enable real-time monitoring of downhole drilling...

... monitoring at seafloor, a new concept of benthic station called Lander, equipped with state-of-the-art sensors for environmental monitoring of chemical and physical parameters of the water column, has been developed and utilized. This work presents a description of the main results of the environmental...

... operation cable automated plug-and-perf decrease operational risk international petroleum technology conference sensor wireline winch inconsistency note algorithm Introduction The second technical challenge was providing closed loop feedback to both the wireline winch and pumping units...

... involves wireless sensor-enabled data collection transmitted to a centralized hub, where machine learning algorithms detect equipment defects. Rapid reporting of these defects to decision-makers, accompanied by contextual insights, empowers swift, informed decision-making. This innovative solution has...

... Temperature sensors, usually in the form of a resistance temperature detectors, record the temperature at the drill bit. These data, while not a dynamics measurement, are often useful in correlating dysfunctions. For example, it is sometimes seen that dysfunctions lead to temperature increases...

... trajectory design well planning geology logging while drilling geologist inversion lwd drilling measurement boundary thickness drilling data acquisition resistivity inversion sensor paper log analysis resistivity international petroleum technology conference bit ultra-deep...

... cuttings geology wellbore integrity rig annular pressure drilling information geologist wellbore design telemetry sensor rethinking event detection detection engine international petroleum technology conference configuration operator influx high-speed downhole telemetry blowout preventer...

... cement formulation cement property waveform cement sheath eccentricity cement evaluation sensor ultrathin cement sheath tie receiver acoustic impedance amplitude thickness emat sensor inverted acoustic impedance limitation free Introduction Reliable evaluation of the cement...

... microgrid requirement iptc-23636-ms artificial intelligence module battery sensor intelligent intermittent pumping production technology Introduction The intelligent intermittent pumping production system based on PV-storage fusion is the organic integration of a PV-storage microgrid system...

... to the availability and accuracy of sensor data, which can lead to time delays. In recent years, downhole-based methods utilizing sensor data such as pressure, conductivity, density, and flow rate have gained attention. Studies, such as the one by Sule et al.[ 4 ], have established the effectiveness of downhole-based...

... operations. The data was acquired across and beyond the entire perforated interval. High-resolution temperature sensors were installed on the tubing conveyed perforating guns to provide an accurate temperature profile across the perforations. The sensors are resistant to high perforation shock and acidizing...

... shift into account. More in detail, we continuously train a recurrent Deep Neural Network to build a virtual sensor from other signals and we compare the prediction versus the real signal to raise (in case) an anomaly. Furthermore, Kullback-Leibler (KL) divergence is used to estimate the overlap between...

... accuracy in addition to being expensive to purchase and maintain. The last point has motivated the oil and gas industry to seek other alternative metering technologies. In particular, the emergence of cheap sensors and their widespread installation in production systems has led to an exponential increase...

..., this approach has its limitation as different HFTO frequencies are triggered and depending on the mode-shape of it, the sensor will read different g loads. The sensor might be close to a node and it will show low readings, where in reality the loads are much higher at different areas of the BHA. As a result...

... utilizing high-frequency downhole sensors in the bottom hole assembly (BHA) which is placed below the mud motor. Secondly, after identifying the main causes of the downhole failures in the RSS and measurement while drilling (MWD) tools, a solution was created to address these dysfunctions. Lastly, two...

... measurement Abstract This paper summarizes the steps and shows the results of field testing of a new Logging While Drilling (LWD) tool in a carbonate reservoir in the Middle East. The next generation LWD tool was designed to achieve several tasks. The first task was to keep important sensors like...

... approach was taken in spectral noise logging technology. The challenge however remains for slow building leaks for which higher sensitivity sensors are required. Recently, an innovative Tri-Axial Geophones (TAG) based logging technology was introduced and mobilized across several fields to detect sources(s...