... In this paper, three subsea wells (Well 1, Well 2 & Well 3) from conventional deep water asset are analyzed to estimate well performance parameters and to assess the health of MPFMs. Typically, these wells are allocated using MPFMs. To ensure the health of these meters, they need...

... time for soil property estimation in a wind farm site can be quite long. In this study we implement a semi-supervised learning workflow to automate the task, which integrates URH seismic and CPT logs through two convolutional neural networks (CNNs), with one for seismic denoising and feature...

..., to evaluate, and to estimate optimization impacts and to reduce potential deferred losses. A digital solution was implemented to allow early identification of events, estimate production losses, and thus classify and prioritize events for optimizations using data analytics. Production monitoring...

... Abstract Coming up with reliable water cut analysis and estimation has been challenging. An increase in water cut reduces oil production to no oil or is no longer economical. Water cut from the Portable Gas Oil Ratio (PGOR) test, while considered the most accurate is not sufficient to provide...

... were investigated. The hydrocarbon compositions and the molecular weights were used as inputs to estimate the dew point pressure. Different types of error indices were employed to measure the prediction performance of the developed equation. Average percentage error and correlation coefficient values...

...Drift-Flux Model for void fraction estimation Drift-flux model describes the relative motion between two phases and considers the mixture as a whole. The distribution parameter, C o , signifies the effect of void fraction distribution, which is flow regime dependent. The drift velocity, u d...

...States Estimation Abstract Directional drilling is a major activity in today's oil and gas industry, as most wells currently being drilled are directional wells. The complexity of the wells being drilled today creates the greatest risk and most promising scenarios for proper planning...

... a novel machine-learning-based approach as an alternative to conventional random walk simulation for rapid estimation of NMR magnetization signals. This work aims to establish a "value-to-value" model using artificial neural networks to create a nonlinear mapping between the input of Minkowski...

... Plant operation raised concern to study and confirm the suitability of the material selected for the low temperature flare KOD pump and discharge piping. The original design relief load estimation methods were reviewed in this study to confirm more realistic relief load and relief temperature...

...Introduction modeling & simulation gradient organic rankine cycle production geothermal electric power production presented upstream oil & gas workflow estimation reservoir simulation electricity technology conference objective geothermal gradient variation separator...

.... This model utilizes the technical input such as plant capacity and number of trains, gas composition, various concepts of technology selection, project specific requirements, location and propose offsite facilities concept, to generate the high-level deterministic cost estimate. Compilation of technical data...

.... Surveillance of pipe integrity in such wells is extremely challenging. A multifrequency electromagnetic pipe inspection tool with multiple transmitter and receiver arrays was designed to accurately estimate the individual wall thicknesses of multiple tubulars. In this paper, we present a workflow to process...

... temperature. Then a liquid is pumped through the sand and SMP media to simulate oil flow. The SMP sample and sand layer are compacted with predefined strain rates. Meanwhile, applied load, temperature, flow rate, and the displacements are measured. Permeability is estimated with the measured pressure...

...Introduction Abstract Seismic wavelet extraction is a fundamental but crucial component in seismic data analysis, which aims at estimating the source wavelet for better decoding the subsurface reflectivities from seismic signals and calibrating the measurements between logging and seismic...

... implemented a three-step method to model velocity and anisotropy parameters. We first used long offset seismic data to estimate effective velocity and anisotropy using a bi-spectral analysis method to pick non-hyperbolic moveout of the reflection data. Secondly, we independently measured Thomsen anisotropic...

... in DataOps architecture. The data-driven approach consumes well log data and geophysical attributes (AVO) to provide an updated estimation of the petrophysical properties ahead of the bit in geosteering scenarios. In the initial stage, the system represents the current state of knowledge of the reservoir...

... seismic dataset as input for rock properties estimation. The robustness of the proposed approach is first evaluated based on synthetic dataset. Exceptionally good coefficient cross-correlation is obtained after evaluation on the predicted and true elastic properties; while results on the blind test...

.... evaluation drillstem testing upstream oil & gas drillstem/well testing artificial lift system consideration estimation enhancement shaya project surveillance requirement reservoir objective esp completion esp scenario architecture efficiency petroleum engineer knowledge management...

... flowmeter solution adopted by Al Yasat utilizes first principle based high fidelity multi-phase flow assurance simulator, leveraging its machine learning model for fast and robust flow estimation. Dynamic analysis and data driven approach of the virtual flow meter solution ensures the estimation accuracy...

... Abstract In offshore field due to pessimistic design in one of the field, water injection flowmeters are not capable to measure full potential injection rates. Highly precise Virtual Metering methodology was developed in-house to estimate rates real-time using advanced analytics and machine...