... of technologies used to identify and quantify fugitive methane emissions, among which are incumbent technologies such as satellites and optical gas imaging (OGI) camera surveys, each with benefits & drawbacks related to cost, continuity of measurement, probability of detection, and accuracy of quantification...

... to the complexity and cost of the inspection process. Pressure-based methods, such as pressure drop tests, are effective in detecting leaks but necessitate process shutdowns, causing operational disruptions and significant downtime. These challenges highlight the need for more efficient, accurate, and non-intrusive...

... Abstract Navigating thin carbonate reservoirs (3-5 ft thick) with significant dip variations poses a major challenge in achieving accurate well placement and maximizing reservoir contact. Close-to-the-bit measurements are essential for the early detection of formation changes, enabling...

...Methodology for Detecting Abnormal Pressure Loss The method for detecting abnormal pressure loss belief builds on a previously developed probabilistic approach to detecting washouts and pump failure ( Ambrus et al. 2018 ). On a high level, the abnormal pressure loss belief (see Figure 1...

... losses. To prevent such failures, PEPC aims to develop an early warning system using anomaly detection to prevent equipment failures and mitigate production losses. The Leading Equipment Anomaly Detection System (LEADS) was developed using historical solvent pump operating data to model normal...

... across the boundary. Analysis of the raw UDAR data can show the influence of the boundary before it is penetrated, but inversion is required to present the distance to boundaries in an easy to understand form that can be analyzed and reacted to quickly. The distance that a boundary ahead can be detected...

... alerts for critical interventions. The development of the methodology involved a comparison with the traditional deep learning approach commonly used for fault detection in dynamometer card data. Fault detection in sucker rod pumps relies on advanced monitoring techniques that analyze load-position data...

... Abstract Objective Risk reduction and increased Fabric Maintenance efficiency using Artificial Intelligence and Machine Learning algorithms to analyze full-facility imagery for atmospheric corrosion detection and classification. Following imagery capture and processing, deficiencies...

... Effective leak and TPI detection systems play crucial roles in ensuring the security and integrity of pipelines. Undetected leaks can lead to hazardous situations, posing significant safety risks to both the environment and nearby communities. Rapid identification and response to leaks...

..., abjectness scores and probabilities for each detected object. This paper presents a novel approach to power line inspection that utilizes deep learning algorithms to identify and localize objects not only by using axis-aligned bounding boxes but also with oriented bounding boxes, which can significantly...

... are consistent, and then the model correction is completed. The commonly used techniques for post-stack fracture prediction include coherence, edge detection, ant body and curvature attributes. Coherence is a kind of seismic attribute, which mainly utilizes the similarity of adjacent seismic signals...

... detection Introduction With the rise of shale development, horizontal well multistage fracturing has gained momentum in tight and unconventional resources ( Wang et al., 2020 ). From the cost-saving and efficiency improvement perspective, the industry widely adopts multicluster perforating...

... the possibility of encountering the loss zone. The detection of the source of losses presents a big challenge; knowing the precise zones helps in optimizing the number of cement curing plugs thus a reduction in drilling days and cost. When losses occur; the drilling fluid moves from high pressure side (mud...