... temperatures, approximately 250 – 350 °F. This temperature, combined with historic production rates, is estimated to be between 300 kW and 3 MW of electricity potential, depending on repurposing methodology and total flow rate potential. Investment in the low production model (~300 kW) will most likely have...

... Consequently, given the utmost significance of reservoir characterization and modeling specifically tailored for CCUS applications, as well as their profound implications for the design of the Rio de Janeiro hub project, this study aims to present estimations of CO2 storage capacity, uncertainty...

... one-dimensional (1D) DYNLET and Delft3D hydrodynamic circulation models were developed for the inlet. The numerical models were pivotal in extrapolating from flow measurements, thereby providing a thorough characterization and validation of spatial and temporal variations. Calibration and validation...

... Abstract This work presents a casing integrity study that begins with data collected from an ultrasonic log inspection and progresses to the estimation of the residual collapse strength of damaged tubes, using a probabilistic-based Finite Element (FE) modeling. The goal is to provide a data...

... for economical 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...

.... 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...

... 2D models have been used for a variety of applications for centuries. Dating back as early as the 9th century, two-dimensional diagrams are integral for urban planning, product design, construction, asset monitoring, and more. Working in just two dimensions results in the absence of depth...

... 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...

... locations with more projects being planned around the world over the next decade. gas monetization modeling customer flexibility liquefied natural gas reimagine lng remote location sub party liquified natural gas midstream oil & gas cash flow lng offer future afloat lng investment...

... 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...

... 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...

... treatment modeling reservoir extra-tree model petrobras dataset water cut offshore technology conference water-in-oil emulsion rheology model Abstract This work aims to present a new paradigm in the Exploration & Production (E&P) segment using Artificial Intelligence for rheological...

... 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...

.... 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...