... segmentation figure 5 pixel suspension semantic segmentation visual imaging source novel technology artificial intelligence video information classification validation software convolutional neural network detection estimation detector procedure Introduction In recent times...

... to specific cloud system where a machine learning (ML) process identifies and classifies the visual aspects over PDC cutters. The classification, ordering, and analyses are stored in a MySQL database that supports the deployment of overall drill bit performance. A summary of the analysis is generated...

... well logging creep information flexural attenuation crossplot mmd sequential logging note classification crossplot log analysis attenuation liner objective relevant operational Introduction Since 2017, multiple cement and annulus logging evaluations were performed across selected...

... optimizer sgd optimizer international drilling conference application deployment classification detection accuracy adam optimizer witt-doerring category exhibition example yolov5 gauge Introduction The drill bit is an integral component of any drill string design. It must withstand...

... learning category gauge cutter cutter dataset schema artificial intelligence substrate iadc dull hyperparameter bit selection accuracy onepetro bit dull grading report generation international drilling conference algorithm information classification threshold Introduction...

... the information contained in cement logs for quantitative comparison of different P&A designs. log analysis well logging casing design casing and cementing international drilling conference log response skadsem microannuli size cement and bond evaluation classification experiment artificial...

... into four workgroups to focus on: 1) a qualitative classification scheme for PDC cutters, drill bits, and tools, 2) BHAs, motors, RSS tools, and stabilizers, 3) case studies, and 4) data definition, storage, retrieval, and exchange. The bit and BHA sub groups are defining a standard set of examples...

... for content extraction. Specific disadvantages of regex are: natural language classification text processing wells drilled information iadc spe international drilling conference artificial intelligence drilling report stuck pipe rule-based model dependency matcher event detection task regular...

..., although difficult to interpret accurately. This paper presents a novel deep learning methodology using mechanical drilling parameters for lithology classification. A cascade of multilayered perceptrons (MLPs) are trained on historical data from wells on a field operated by Equinor. Rather than an end...

... classification cement lightweight cement acoustic impedance ufav upstream oil & gas attenuation aiav casing and cementing attenuation value flexural attenuation aibk signature correction scheme interpretation flexural attenuation value data behavior heavyweight cement correction formation...

..., preventing failures to the BHA. diagnostic medicine cardiology artificial intelligence vascular disease drilling operation drilling electrocardiogram machine learning drilling equipment classification electrocardiogram electronic board incident health & medicine upstream oil & gas...

..., manual labeling of the data was done to prepare the training set. However, as mentioned before, operators often have their own set of subcodes, and manual labeling is a time consuming and inefficient process to arrive at training sets. The paper aims to arrive at a classification model without the need...

... Abstract A real-time deep learning model is proposed to analyze the volume of cuttings from a shaker on an offshore drilling rig. The model is able to extract features and perform real-time classification in relatively good accuracy compared to the traditional video analytics method, which...

... are based on valid measures. Upstream Oil & Gas top-down model Artificial Intelligence classification cost estimate machine learning Enterprise Performance Management Exhibition expenditure class 2 cost management cost estimating well cost management well cost estimate contingency...

... processes to be discussed in the paper, will be presented. formation hardness directional responsiveness requirement Upstream Oil & Gas contribution application drilling system performance drilling classification consideration RSS tool interpretation drilling operation Drilling iadc...

... integrated with other data to improve the efficiency of drilling problems detection. neural network international conference machine learning upstream oil & gas opf classifier image analysis algorithm proceedings information drilling process prototype classification classifier iadc spe...

... will allow service providers to make more agile maintenance decisions and provide operators the means to incorporate reliability into the well planning and operations processes, enabling monetary savings for both parties. drillstring design Pattern Recognition Upstream Oil & Gas classification...

... force tendency classification bit design steerability passive gage pdc bit inner cone bit selection back rake angle bit profile gage cutter gage pad gage cutter characteristic drilling operation conference axial drillability tan 2 drilling equipment friction deviation upstream oil...

... ABSTRACT Converting semi-submersible drilling units to long term site specific Floating Production Service is becoming more frequent. This paper will present the latest classification and other regulatory requirements for this type of service. The paper concentrates on Gulf of Mexico service...

... discriminant function pipe drilling fluid formulation classification drilling fluid property wellbore integrity gulf pipe probability machine learning upstream oil & gas pipe predictive plot IADC/SPE 27528 Tracking Stuck Pipe Probability While Drilling J.A. Howard, Enertech Engineering...