... courtesy sub-sea system operation application tether management system transponder operator united states government remotely operated vehicle buoyancy cable pipeline classification offshore technology conference subsea structure maintenance communication Introduction Remotely...

.... social responsibility flag administration procedure sustainable development classification classification society subsea system sustainability offshore wind turbine installation requirement wind energy renewable energy abs guidance note abs guide installation offshore wind farm offshore...

... forecast horizon (e.g. prevailing atmosphere/ocean regime), we apply stratification on the basis of the classification of the large-scale weather present at the time to ‘filter’ past verification statistics, as considered in terms of the continuous ranked probability skill score. When used in real-time...

... recorded real-time measurements can be used to optimize the test design and real-time operations. Basic principles of interpretation of WFT are used to develop quality parameters and classification based unsupervised machine learning models (Self organized maps, K-means and Hierarchical Clustering...

... Abstract The International Standard ISO 19008 provides the specifications for a standard cost coding system (SCCS) to be used for classification of cost, quantities and schedule data associated with the development and operation of oil and gas processing facilities. The ISO 19008 is valid...

... known Deep Learning algorithm, is used in the Tensorflow framework with Keras in the backend is used in the digital twin for corrosion inspection. CNN algorithm will first detect the corrosion and then the type of corrosion based on image classification. Corrosion is identified based on the corroded...

... are carried out at different scales: from laboratory to 1:1 scale. The general procedure used to design a riser coupling for static loading is based on the stress linearization and classification resulting from an elastic analysis. Classifying the stresses is a key step of the design process...

... method dataset neural network polynomial regression classification undrained shear strength SHAHIN , M. A. "Load-settlement modeling of axially loaded drilled shafts using CPT-based recurrent neural networks" . International Journal of Geomechanics, vol. 14 , n. 6 , pp. 06014012...

... implementation downtime event classification asset hierarchy reliability hierarchy correlation platform ml model additional feature upstream oil & gas indicator machine learning operation Alsina , E. , Chica , M. , Trawinski , K. , & Regattieri , A. ( 2018...

... machine learning techniques have been adopted to categorize electrofacies. In this paper, two supervised machine-learning techniques were implemented to model electrofacies given well logging data for a well in order to predict the distributions in all other wells (classification) in a carbonate reservoir...

... physical (textural) characteristics, including visual description, grain size distribution, and soil plasticity-based or CPTu data-based soil behavior type (SBT) charts. Soil classification for a variety of OCS sediment types from SBT charts, the Unified Soil Classification System (USCS), and ISO standard...

... estimation in the oilfield development planning. In 1984, Hearn et al. first proposed the concept of flow unit while studying Shannon reservoir in HartogDraw oilfield, Wyoming, USA. Since Hearn put forward the concept of reservoir flow unit, various Electrofacies classification methods have been proposed...

... and permeability in this form: logK = A*phi+B. Train a self-organizing map with well log patterns associated with each facies at the cored intervals and propagate the facies classification to un-cored intervals using select log curves. Use the poroperm relationships defined for different facies to calculate...

...) stability methodology are the most commonly followed guidelines in the industry for the on-bottom stability assessment. This paper provides insight into on bottom stability assessment, effect of soil classification system on on-bottom stability assessments and compares results from DNV RP F109 and AGA/PRCI...

... significant wave height large-scale circulation type weather pattern classification significant wave height weather pattern typology forecast system risk management probability weather pattern forecast sustainability historic weather pattern classification artificial intelligence upstream oil...

.../j.ymssp.2006.12.007 . Shin , H. J. , Eom , D. and Kim , S. 2005 . One-class support vector machines—an application in machine fault detection and classification . Computers & Industrial Engineering 48 ( 2 ): 395 - 408 . doi: https://doi.org/10.1016/j.cie.2005.01.009...

... performance. artificial intelligence neural network video analytic accuracy machine learning algorithm video video data deep learning model architecture rig deep learning connection process sequence drilling connection computer vision training data classification information upstream...

... & gas monitoring operator operation maintenance algorithm hyperparameter failure prediction application assessment learner xgboost classification prediction training data estimator Hoffmann , G. A. Failure Prediction in Complex Computer Systems: A Probabilistic Approach...

... to support classification requirements without the need for intrusive inspections. The second delivery was a data quality assessment report to demonstrate how data quality can be measured and ensure that there is high confidence in alternative compliance approaches. The third delivery was an optimized...

... processing (TLP) in drilling context, and (2) classification of NPT causes. The two-step approach mentioned above results in a framework for mining unstructured reports to detect anomalies like symptoms, events, and actions. A modified NLP, referred here as TLP in the drilling context is used to achieve...