... the wellbore and defining the reservoir properties would be possible by utilizing a tool with a greater depth of detection integrated into a conventional triple combo Bottom Hole Assembly (BHA). Extra Deep Azimuthal Resistivity (EDAR), with its lower frequencies and flexible spacing between transmitter...

... fluids into the wellbore when the pressure found within the formation is higher than the mud hydrostatic pressure. If the event cannot be detected and controlled in time, they will lead to increased non-productive time (NPT) and costs. For example, the maximum killing pressure required will be more than...

... a sufficient amount of data to ensure the learning algorithm is updated and matured. In the absence of multiple shapes of diffraction data, the accuracy of your prediction for machine learning (ML) may be compromised. ML may also fail to detect the pattern of diffraction in the data. Following the learning...

... formations [ 1 - 4 ]. Failure to promptly detect and mitigate these leaks can have considerable consequences, including compromising the effectiveness of the sequestration operation and presenting significant environmental, safety, and economic risks. Abstract The efficient and safe operation of CO 2...

... decision. To address this, we have developed a machine learning classifier capable of early detection of non-1D features in the formation before the drill bit reaches the higher dimensional feature. A large number of synthetic formations were generated with and without non-1D features that included faults...

... objective is to leverage unsupervised machine learning techniques for the identification and subsequent removal of anomalies inherent in complex datasets. The Isolation Forest model is the cornerstone of our approach for anomaly detection and elimination. To initiate this process, we employed the K-means...

..., the ability and accuracy of fault structure identification based on seismic data have been greatly improved. The methods used to predict fractures with seismic data include shear wave splitting detection [ 2 , 3 ], conversion wave fracture detection [ 4 ], longitudinal wave anisotropy detection and post...

... One challenge that arises from the application of polystyrenic NanoTags is the accumulation of the non-degradable tags in the drilling mud over time as the drilling mud is recirculated and reused. The accumulation of tags in mud will increase the detection baseline during Py-GCMS analysis. Thus...

..., we investigate a sequence-based approach consisting of detection and recognition deep learning models for blade text recognition. These models are integrated into a feedforward pipeline that segments, detects, and recognizes embossed and debossed imprinted text on metal surfaces. The text...

... resistivity method could provide larger depth of detection to completely depict the thin sand channel with much more detailed resistivity property inside, fitting for most of challenging scenarios such as severe changing of reservoir structure, local sedimentary character, overlapping sand bodies, and sand...

... social responsibility climate change pipeline pipe thermoplastic pipe flexible steel-reinforced pipe sustainability piping design fsp application detection leak fsp pipeline international petroleum technology conference piping simulation sustainable development shield integrity...

... to avoid adverse health effects in Oman. Oil leaking detecting in a timely that leaking could be undetected for long time. However, the precise methods could help improving the oil leaking detecting response process in channel required resources with more effectively to be concerned regions. Existing...

... the following technical characteristics: 1) it can realize all downhole measures. Water detection, water plugging, testing and production can be completed in one run, and the number of layers is not limited; it has few restrictions on wellbore conditions and can be used in both deviated wells and horizontal...

... well intervention drilling operation drilling time analysis completion installation and operations expert system artificial intelligence data quality production enhancement downhole intervention detection cable pooh dsl cable international petroleum technology conference prediction...

...) absorbance detection was introduced in the upstream industry. Elias and Gelin demonstrated the capability of the GPC-UV method to predict API gravity from drill-cutting samples with oil-based mud in unconventional reservoirs. This study extended the GPC-UV approach to conventional reservoirs across multiple...

... wellhead displacement completion installation and operations prediction automated wellhead monitoring deep learning machine learning background international petroleum technology conference artificial intelligence dimension unsupervised segmentation detection segmentation baseline...

... running life and optimizing operating costs. This paper's main objective is to showcase field results for electric submersible pump (ESP) optimization, ranking, and automatic event detection. The Oriente Basin is the largest brownfield in Ecuador, from approximately 100 producer wells. Production...

... measurement and control upstream oil & gas multiphase flow flowmeter production control sequence spectrum pipeline magnetic resonance flow metering multiphase flowmeter accuracy holdup amplitude radioactive limitation scenario reservoir surveillance detection limitation scenario sensor...

... be accounted for in cybersecurity solutions for ICS. For this purpose, models and methods are required that consider the function of the whole Cyber-Physical System (CPS) not just the ICS, with the capability of detecting and correlating observations across the layers of system control, including the physical...

.... As a result, the inspection and monitoring program was sub-optimal to detecting the operational threat earlier. The advances in digital technology, particularly computer vision, cloud computing, and artificial intelligence, enable every device with a camera and internet connection to become additional "eyes...