.... Doing so ensures that the benefits of programmatic planning and the phased ground modeling approach are also realized and adds value to the lease, building equity for stakeholders. Another important feature of effective survey management is day-to-day offshore operations oversight provided...

... Abstract The adoption of imaging technologies to create 2D and 3D models is becoming more and more common in the management of critical infrastructure. In most cases of submerged infrastructure, remotely operated vehicles (ROVs) are the only way to easily capture reliable data for modeling...

... for such a large scale. Flexible body modeling of these large floating wind platforms allows the consideration of flexibility of the structures and results in a more accurate prediction of the design loads and the structure behavior. In this case study, we used a generic floating 15MW wind turbine model similar...

... and HSE purposes. This demands a complex planning and modeling that a classical 1D geomechanical workflow cannot provide. Complex numerical simulation workflows coupled with adequate engineering planning and design are required to estimate safe operational characteristics given a field and wellbore...

... includes Let us analyze the different types of contracting models and its advantages taking these A, B and C parties from Figure 1 above into consideration. The role of upstream participants in the value chain is the major differing factor when compared to conventional land-based LNG Contracts...

... of seismic data. Therefore, in the development oilfield with poor seismic data quality, we use attribute modeling method to construct high-precision 3D geostress field to help analyze the wellbore stability of oilfield development wells. First, 3D structural model is created by using seismic interpretation...

..., 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...

... The SDT is a highly detailed structural model that represents the FPSO in its as-is state and enables structural integrity analysis and automated report generation based on up-to-date asset condition and loading data. The SDT for the FPSO is illustrated in Figure 3 , Figure 4 , and Figure 5...

... Abstract Machine learning models have worked as a robust tool in forecasting and optimization processes for wells in conventional, data-rich reservoirs. In unconventional reservoirs however, given the large ranges of uncertainty, purely data-driven, machine learning models have not yet proven...

.... The limits of measurement will be explored, using both modeled data and real well examples, in a variety of formations, with different mud types, and in different borehole sizes. The effect on measurement quality as a result of the interplay among these three key parameters is revealed. The results show...

... modeling for frictional pressure losses. Surface BackPressure (SBP) and StandPipe Pressure (SPP) data, measured in real-time, allows the calibration of frictional pressure losses and an estimation of BHP more accurately. An estimation of SPP is calculated based on integration from the measured SBP back...

... operational safety strength blast loading protection overpressure accidental situation upstream oil & gas congestion risk level risk assessment risk and uncertainty assessment modeling risk management structural component mitigation measure platform API RP 2A-LRFD . 2019...

... Abstract We present a structural digital twin system based on component-based parametric reduced order modeling using Reduced Basis Finite Element Analysis (RB-FEA) framework. This enables fast, detailed, and holistic modeling of large-scale structures, such as floating and fixed production...

... of the concept, considering many uncertainties of both the geological structure and the development strategy and the subsea construction scenarios. A modern approach to risk assessment involves the mathematical modelling arrangement of the entire chain of technological processes from the interpretation...

... Abstract Computational modeling (CFD) has made great strides in the last 20 years in fighting and overcoming its "expensive" stigma. The oil & gas industry has embraced the use of CFD to assess everything from the design of equipment, optimization of process flows, and hazards modeling...

... Abstract The offshore segment of the oil & gas industry has led and continues to lead the way in the use of computational fluid dynamics (CFD) in perusing inherently safer designs. Despite this, modeling focus has remained fixed on vapor cloud dispersion and explosion modeling. Typically...

... Giunta , R. L. , Le , C. V. , Schoener-Scott , M. F. , Anderson , R. N. , & Glass , J. M. ( 2012 , January 1 ). Modeling Dynamic Shock Loads for High-Pressure/Deep-Water Tubing-Conveyed Perforating Operations in the Gulf of Mexico . Society of Petroleum Engineers...

... integration methodology is based on the sequential integration of available evidence (experimental observations, model predictions and experts’ beliefs), which allows for the reduction of uncertainty and improve the quality of geospatial analysis translated into higher stratigraphy resolution and higher...

... evaluation (using one-dimensional wave equation analyses and two- and three-dimensional finite difference and finite element modeling) was performed to develop a better understanding of stresses in the pile during driving. The numerical modeling evaluated the effect of strength, thickness, inclination, shoe...

... Formation reservoir was established by using of core, log and seismic data, guided by sequence stratigraphy and sedimentology. Then, microfacies classification scheme was determined by actual data and the depositional model. The spatial distribution regularity of fan delta and its microfacies was researched...