Showing papers in "Journal of Petroleum Science and Engineering in 2019"

TL;DR: In this paper, the equilibrium adsorption and kinetics of an anionic surfactant synthesized from soap-nut fruit on sandstone, carbonate and bentonite clay as representative of reservoir rocks were investigated by FE-SEM, XRD and BET surface area analysis.

TL;DR: In this article, a review of challenges and technologies for permanently plugged and abandoned offshore wells is presented, with an emphasis on cost-effective solutions while establishing permanent well barriers, and a discussion on the special considerations related to P&A of subsea wells is also included.

TL;DR: In this article, a new method to calculate tortuosity index of fractal induced-fracture is proposed, and the fractal dimension of induced fracture aperture (dfa) is presented to describe the distribution of fractual induced-fragments aperture (FFAD).

TL;DR: In this paper, the authors discuss the technical aspects related to gas adsorption and characterization (both composition and pore) concerning shale gas reservoirs and discuss the various adsorization mechanisms, different adsor- isotherm types and shales as a microporous adsorbent.

TL;DR: A comprehensive data mining process to evaluate well production performance in Montney Formations in western Canadian sedimentary basin finds that random forest has the best prediction performance for the first-year oil production.

TL;DR: The review results show that conventional models are preferred for the yearly energy consumption forecasting in national level and nonlinear regression models can not only explicitly describe the relationship between consumption data and influencing factors but also obtain the lowest average MAPE for long-termEnergy consumption forecasting.

TL;DR: In this paper, the authors investigated the performance of nanosilica water-based drilling fluids for the hole cleaning process in directional drilling operations and found that the presence of nano-silica in the mud increased the colloidal interactions with cuttings and contributed to the improvements in cut-ings transportation efficiency by 30.8-44%.

TL;DR: Through this study, the superiority of linear random forest for logging regression modeling is substantiated, which provides a more reasonable way for the further practices of logging regression modeled.

TL;DR: In this paper, analysis data of outcrop, core, imaging logging and other experiments were used to determine the characteristics, formation periods and genetic mechanisms of tectonic fractures in the Upper Triassic Xujiahe Formation.

TL;DR: In this article, a theoretical evaluation model of coal brittleness has been established based on the statistical damage theory and the energy evolution law of rock failure process, the calculated results were in good agreement with the experimental results, which proved that the theoretical analysis method of coal BRittleness proposed in this paper can be used to analyze the applicability of coal seam fracturing.

TL;DR: In this article, the tetrahydrofuran (THF) hydrates that exhibit pore habits of the pore-filling pattern are formed in sediments, and the water permeability is quantified as a function of hydrate saturation.

TL;DR: In this article, a new 1D-CNN model is proposed for well-log data classification, which is trained on various optimization algorithms, including photoelectric effect, gamma ray, resistivity logging, neutron-density porosity difference, average neutron density porosity and geologic constraining variables.

TL;DR: Real-time predictive capabilities of analytical and ML ROP models in a continuous learning setting is investigated, and cross-validation is investigated as a methodology to select the best performing ROP model in real-time.

TL;DR: In this paper, the authors used core flow tests to determine how and which fluids can damage the reservoir formation during drilling and completion, and the main mechanisms of formation damage were analyzed as following: plugging of pore throats by solid invasion occurs because the sizes of the solid materials in the drilling fluids are just ideal for the formation of an external filter.

TL;DR: A comprehensive review on the use of nanoparticles for oil production applications, the current status of the nanoparticle applications development in the areas of (i) drilling and completions; (ii) production operation and flow assurance; (iii) reservoir sensing; (iv) enhanced oil recovery; and (v) heavy oil recovery is provided in details as mentioned in this paper.

TL;DR: Wang et al. as discussed by the authors investigated the mechanisms of anionic and nonionic surfactants on wettability alteration of shale rocks of the Sichuan Basin in China, and analyzed their effects of wetability alteration and interfacial-tension reduction on the spontaneous imbibition process of the oil-wet shale samples.

TL;DR: In this article, a comprehensive review of the literature describing the physical and chemical mechanisms for enhanced oil recovery under smart waterflooding in carbonate reservoirs is provided, which is a term denoting directed alteration of the ionic composition of the injected brine in order to achieve a better oil recovery.

TL;DR: In this paper, a kinetic model was developed and validated based on the thermal parameters obtained from differential scanning calorimetry cooling thermograms, and the nucleation rates of various water-in-waxy crude oil emulsions were determined in the temperature range in which gelation occurs.

TL;DR: In this article, a 3D seismic and well log data were analyzed for prospect evaluation and field development plan to achieving maximized production of the Sawan Gas Field in the Middle Indus Basin in Pakistan.

TL;DR: An extensive review of the literature on ROP prediction, especially, with machine learning techniques, as well as how these models can be used to optimize the drilling activities is presented, enabling to see that machineLearning techniques can potentially outperform in terms of ROP-prediction accuracy on top of traditional or statistical models.

TL;DR: The method employed in this study could be used as an efficient means to accurately estimate Vs and provided more reliable and accurate results compared to those of empirical and regression models, and also LSSVM-PSO and L SSVM-GA algorithms.

TL;DR: A review of the current status of nanoparticles applications for hydraulic fracturing treatments of the unconventional reservoirs, highlighting the mechanisms and applications, the findings, the technical challenges and directions for future studies is presented in this article.

TL;DR: It is found that the number of hidden layers and neurons in each layer have significant effects on the performance of models, and an optimum DNN model was achieved by optimizing the dropout layer, activation function, and hyperparameters of DNN models.

TL;DR: In this paper, a set of parameters, including the clay mineral index, Lorentz coefficient, compositional maturity, and plane porosity are tentatively proposed to evaluate the quality of tight reservoir rocks.

TL;DR: In this article, the authors provided a fundamental understanding of coal composition and its structure, water adsorption capacity of coal and the impact on the mechanical characteristics due to the chemical property changes under coal seam temperature conditions.

TL;DR: In this paper, an exploratory study on enhancing coal porosity/permeability using freeze-thaw cycling with liquid nitrogen (LN2) was conducted, and the changes of fracture and porosity in coal with the freeze−thaw treatment using LN2 were evaluated using nuclear magnetic resonance (NMR).

TL;DR: In this paper, three lateral flooding tests were performed in a three-dimensional physical model based on the geometric similarity criterion, and the results showed that the improved oil recovery by lateral waterflooding can be mainly attributed to a significant increase in horizontal sweep efficiency.

TL;DR: In this paper, the authors introduced pressure transmission test (PTT), a time-saving and accurate method to quantitatively evaluate the core permeability damage degree from macroscopic perspective, and nuclear magnetic resonance (NMR) was also used to analyze the damage mechanisms of fracturing fluids from microscopic perspective.

TL;DR: In this article, the synergistic effects of nanoparticles and surfactants on decane-water interfacial tension, and bulk foam stability at high temperature was investigated using a spinning drop interfacial tensiometer.

TL;DR: In this article, the authors used genetic algorithm (GA), particle swarm optimization (PSO), biogeography-based optimizer (BBO), and imperialist competitive algorithm (ICA) to predict the rate of penetration (ROP) of a vertical well in Marun oil field.