... potential of unconventional reservoirs, forecasting future production accurately using Arps decline models becomes more challenging because of the complicated fluid flow mechanisms characterizing stimulated multi-layered ultra-low permeability porous media. Many field studies indicate unreliable forecasts...

...). In this project, seven gas samples were collected from the same unconventional reservoir (reservoir W) from the same well (Well Y) on different dates between 2019 and 2021. The gas samples were analyzed for carbon isotope ratio in each of light gas compounds including C1, C2, C3, i C4, n C4, i C5, and n C5...

... each fracture individually. Therefore, researchers have recently paid more attention to the theory and applications of fractal object as well as the fractional diffusivity equation to quantify the fluid flow in unconventional reservoirs. Abstract In this study, an extended version...

... deep learning-based workflow incorporating a reduced physics model that can efficiently visualize well drainage volume and pressure front propagation in unconventional reservoirs in near real-time. The visualizations can be readily used for qualitative and quantitative characterization and forecasting...

... The motivation for the current study comes from experience gained with the continued use of the FMM-based flow methodology. While the application to Unconventional reservoirs seems to have few issues, the application to higher permeability and different patterns of spatial heterogeneity do...

... fractured well offset to the active well that has been producing before start of the active fracturing operations. Abstract Effective fracturing of horizontal wells is the key to successfully producing unconventional reservoirs. Correct evaluation of existing created fractures is essential...

... Abstract This study presents a novel metaheuristic algorithm that uses a physics-based model for multi-fractured horizontal wells (MFHW) to accurately predict the estimated ultimate recovery (EUR) for unconventional reservoirs. The metaheuristic algorithm creates a sizeable number of stochastic...

...Methodology Theoretical methods of VIT simulation and MMC algorithm are modified and applied in this work. The MMPs of both synthesized mixture and unconventional reservoir fluids within nanopores are calculated and compared with the experimental measurements. A modified PR EOS proposed...

... production data to analyze transient linear flow behavior and boundary-dominated flow from multiple unconventional reservoirs. This method applies a log-log plot of rate versus time combined with a log-log plot of rate versus material balance time (MBT). In addition to log-log plots, a specialized plot...

... recovery (EUR) forecasts and optimize field developing planning in unconventional reservoirs. For these reasons, operators gather information from different sources with the objective to calibrate their hydraulic fracture models. Microseismic data is commonly acquired by operators to estimate hydraulic...

... Abstract Unconventional reservoirs, mainly shale oil and natural gas, will continue to significantly help meet the ever-growing energy demands of global markets. Being complex in nature and having ultra-tight producing zones, unconventionals depends on effective well completion and stimulation...

... lift system reservoir surveillance upstream oil & gas optimum production krishnamurthy application deep learning production optimization digital transformation consultant unconventional reservoir unconventional well society of petroleum engineers Introduction The fast pace...

... techniques that were specifically applied to further understand proppant and fluid behavior in unconventional reservoirs. Unconventional fracture characteristics learnings from industry's advanced field studies were included while defining the features of new comprehensive test equipment to represent...

... Abstract The motivation for this work is straight-forward — simply put, there is need in the upstream oil and gas industry to properly forecast production rate performance in unconventional reservoirs. At present, this need is being met by an ever-growing inventory of time-rate (decline curve...

... Abstract Data-driven decisions powered by machine-learning methods are increasing in popularity when it comes to optimizing field development in unconventional reservoirs. However, since well performance is impacted by many factors (e.g., geological characteristics, completion design, well...

... consideration selection application gas injection method rod pump production rate requirement artificial lift method drilling operation limitation society of petroleum engineers structural geology unconventional resource economics artificial lift selection al system unconventional reservoir...

... time of pressure front propagation, has found many applications in unconventional reservoir performance analysis. The computation of DTOF typically involves upwind finite difference of the Eikonal equation and solution using the fast marching method (FMM). However, application of the finite difference...

... in a neighboring well, and (3) provide evidence that the Extended WAE yields sound results by applying it to two field cases: (i) oil producer under the influence of a nearby gas injector, both wells located in a channel-sand reservoir, and (ii) oil producer in unconventional reservoir. Attention is drawn...

... Abstract Optimum co-development layout of multiple targets for unconventional reservoirs is extremely challenging due to complex 3-dimentional well interactions, stochastic well performance, complex fracture geometry, dynamic SRV/DRV evolution, heterogeneous rock properties, various operating...

... frequency band formation layer mineralogy NMR data acquisition stationary measurement resolution stationary data unconventional reservoir saturation vertical resolution Artificial Intelligence variation porosity unconventional reservoir society of petroleum engineers reservoir inversion...