... arrangement considered a multitude of variables—distance, angle, and environmental factors— that with the goal of minimal effects on detection of liquid level in tanks. Satisfactory deployment yielded a treasure trove of video sequences that constituted the raw material for the subsequent data processing...

... Abstract The paper aims to provide an overview of "Waste Management Solution," an Artificial Intelligence computer vision solution that can detect the location, classify, and quantify waste on a geospatial map constructed by aerial images collected with drones. The objective is to demonstrate...

... implications, these scenarios pose risks of environmental damage and jeopardize the safety of rig personnel. Shale shakers are the first indicator of emerging borehole cleaning and wellbore stability problems and as such, they are a fundamental component of the drilling rig. Detecting cavings and foreign...

... off, restrictions), pressure anomalies, and torque issues (over torque, pipe stalling, stick-and-slip), to prevent costly and dangerous situations. We've developed a hybrid, two-step anomaly detection model to boost the effectiveness of RTOCs. This model includes the Anomaly Identification Model (AIM...

... environment attenuating the boundary detection capability of Deep Azimuthal Resistivity (DAR) tools. This paper presents successful case studies where multiple DAR hybrid inversion workflows were implemented to counter this challenge and optimize production within a field. Carbonates target layers...

... Abstract Vibroacoustic Technology is an effective tool for detecting leakages and third-party interferences in pipelines. It operates on the principle of identifying pressure, sound, and vibration patterns generated by leaks or various activities near the pipeline, both above and below ground...

... of in-service valves without requiring operational disruptions. By detecting the high-frequency waves generated by crack growth, leakage, or other structural changes within the valve, AE techniques can provide real-time diagnostic information, enabling more accurate maintenance planning and preventing costly...

... Abstract Recent advancements in Early Kick and Loss Detection (EKLD) have leveraged various sensor information in real-time for detection and time-series trend analysis. However, the increase in data and complexity has led to a higher rate of false alarms, undermining the reliability...

... Abstract Early Kick and Loss Prediction (EKLP) is crucial in drilling operations to maintain well control and prevent catastrophic events such as blowouts. Real-time detection allows for immediate corrective actions, minimizing risks and costs. This paper presents a CNN-LSTM hybrid model...

... resulted in total losses in a depleted, fractured zone. The look-ahead service was able to detect the target layer up to 50 ft true vertical depth (TVD) before penetration and the decision to geostop made at 20 ft TVD above the target. As this was a trial well for the service, it was decided to drill...

.... air emission emission machine learning data mining artificial intelligence deep learning climate change dataset methane concentration methane emission information detection computer vision quantification resolution valuable insight methane emission monitoring and quantification...

... Synthetic flame detectors, also referred to as virtual flame detectors, utilize data-driven algorithms to analyse data about various physical quantities, such as fluid temperature, pressure, flow rate etc. sampled from sensors installed on the turbomachine, to detect the presence or absence...

... Abstract Geothermal operations face drilling challenges like stuck-pipe incidents, posing significant project risks. In this paper, we introduce a real-time monitoring system for early detection of natural fractures that correspond to permeable feed — subsurface areas where geothermal fluids...

... Lastly, we can't ignore the importance of the response time, between detecting unauthorized access, triggering the alarm and responding to the incidents, total time of response plays major roles in preventing or minimizing damage to critical infrastructure. Lab Trials While direct results...

... AMR is a proven technology which can detect casing strings or drill strings at a considerable distance and provides precise relative positioning. It works best with continuous casing strings but has more challenges with very short strings (such as a stuck BHA). The main purpose therefore for AMR...

... the geological challenges and operational hazards. The employment of these techniques facilitated the control of wellbore pressures and allowed for early kick detection and influx management, both essential for maintaining well integrity. Pressure buildup tests (PBUTs) and precise pressure management ensured...

... climate change co 2 udar detection fuel consumption bottom hole assembly co2 emission oil-water contact kuwait oil company Introduction The Kuwait energy company committed to achieve net-zero carbon or greenhouse emission by 2050. This commitment involves actively reducing scope one...

... coiled tubing operations reference standard detection completion installation and operations wall thickness requirement noise level inspection system reference flaw ct string ct inspection snr inspection specification ct inspection specification specification inspection...

... malware vast amount detection researchgate cyber adversary ai technology ensuring information system deployment cyber threat significant risk Introduction The digital revolution over the last several decades has ushered in an era of unparalleled dependence on interconnected information...

... to economic losses, health and safety issues or potentially to environmental pollution. Acoustic emission testing is a relatively modern but already well-established technology for leak detection in valves, however existing solutions show some limitations. These are among others e.g., their complexity of use...