... analysis reservoir characterization sediment permeability consolidation sustainable development strength cohesive soil unit offshore technology conference correlation reservoir geomechanics study area ck 0 shear strain rate undrained shear strength test data interface friction angle...

... Abstract This study presents site-specific CPT-based correlation relationships for preconsolidation pressure, undrained shear strength, relative density and effective friction angle, developed for geotechnical characterization of foundation zone sediments at the Atlantic Shores offshore wind...

... to describe the FPSO and flexible riser responses considering two sea states (Hs = 2.0 and 2.5 m / Tp = 12.5s) and different headings from 0° to 45°. The results are then post-processed to calculate the statistics of top tension for 20-minutes time intervals and assess its correlation with FPSO motion (Heave...

... was collected and studied. Domain experts classified normal flow, unstable flow, and slug flow conditions in the field based on those data. Several deep learning-based models were trained on the supervised data to generalize correlations for slug identification and forecasting. Experiments were conducted...

... production gradient correlation water depth weight estimation application Introduction Floating, Production, Storage and Off-loading (FPSO) facility is one of the most important platforms for offshore resources development. The weight information of an FPSO is essential for the estimation...

... design rating correlation pipe trl probability series system upstream oil & gas th percentile individual pipe percentile estimation strength specimen procedure confidence interval offshore technology conference INTRODUCTION One of the foundations of the ongoing fourth...

... Data analytics describes the physical system from a set of observations. Since use of data analytics does not require apriori knowledge of reservoir models, correlations can be developed with aids of trends and patterns revealed by data. Unsupervised Machine Learning (ML) models are proven...

.... The identification of cross-bedding in the channel sand provided a new way to predict possible tight sandstone sweet spots that can help to design horizontal wells. log analysis study area bedding zone upstream oil & gas correlation reservoir quality reservoir characterization channel reservoir...

... correlation reservoir characterization information input data machine learning upstream oil & gas water saturation effective porosity southern california gas field pre stack depth migrated seismic artificial intelligence petrophysical property quantitative seismic attribute analysis acoustic...

... on a completion scorecard that grades and weights the key design and execution parameters of the CHFP completion and yields a score (0 to 100) for the completion execution and productivity. Knobles et al . established a correlation between the productivity score in the completion scorecard and a qualitative...

.... The comparative analysis comprises two components. One is the error metric analysis in the form of numerical values that includes the correlation coefficient, root-mean-squared-error, and mean-absolute-percentage-error. On the other hand, graphical analysis is performed using scatter plots of the predicted versus...

.... Identified invisible lost time (IILT) is the ILT portion that can be measured with real time data and/or DOR. The other portion is defined as unidentified ILT (UILT). IILT and UILT were estimated to productive and non- productive time (NPT). Geological correlation was used to estimate ILT derived from...

... Abstract The objective of this paper is to present a design and testing methodology to improve subsea connection system reliability by correlating the analysis and experimental data per the latest industry recommended practice. In most cases, a theoretical approach has been used to establish...

... in the hull. The method is also used to automatically derive an optimized strain gauges’ setup by looking at correlations between strain gauges’ measurements in numerical simulations. The method is validated numerically by simulating measurements in an analysis and using them to reconstruct the complete...

... the possibility of bringing wave energy into large commercial operation and utilization with minor investment and environmental impact. wind energy upstream oil & gas correlation converter sustainability platform absolute variation configuration social responsibility feasibility variability...

..., which enables a modeling based on supervised learning. The Artificial Intelligence infers the emulsion viscosity as a function of input parameters, such as API gravity, water cut and dehydrated oil viscosity. The modeling of emulsified fluids uses correlations that, in general, do not represent...

... with R 2 in excess of 0.96. Moreover, during this study an error metric is developed comprising of multiple analysis parameters; Average Absolute Error (AAE), Root Mean Squared Error (RMSE), correlation coefficient (R). All models investigated are tested on an unseen dataset to prevent the development...

... wob operator spe drilling conference downhole measurement mwd milling performance offshore technology conference drilling data acquisition drilling operation real time system whipstock drilling measurement downhole data well planning milling schedule correlation Guidry , C...

.... software collection system reservoir simulation pipeline flow rate gas injection correlation calculation gas factor composition network model modeling simulator gas lift sakhalin island deposit artificial lift system boundary condition wellhead pressure production system collection...

... maintenance systems (which are typically used to monitor and track maintenance activities/workflows). This implementation serves to map the correlations between maintenance data and failures, to predict failures by only monitoring an organization's maintenance system. This involved identifying maintenance...