Showing papers in "Petroleum in 2017"

TL;DR: In this article, the prospect to utilize carbon dioxide (CO2) as a feedstock for synthetic applications in chemical and fuel industries through carboxylation and reduction reactions is the subject of a review.

TL;DR: A review of the most commonly applied surfactants in chemical enhanced oil recovery (EOR) studies and the optimum application criteria for of each type is presented in detail in this paper.

TL;DR: In this paper, a review of solid amine-based adsorbents is presented, focusing on the adsorption mechanisms, material characteristics, and synthesis methods, which are discussed in detail.

TL;DR: In this paper, the authors investigated the application of nanotechnology in the oil and gas industry and proposed synergistic studies to reinforce the current and future nanotechnology applications in the industry, especially for high pressure and high temperature (HPHT) applications.

TL;DR: Two vastly used artificial intelligence methods, namely the Least Square Support Vector Machine (LSSVM) and the Artificial Neural Networks (ANN), are compared to a traditional curve fitting method known as Response Surface Model (RSM) using second order polynomial equations to determine production from shales to further explore the potential of AI in the oil and gas industry.

TL;DR: In this article, the authors highlight the success achieved in blending amine solvents and the recent and future technologies aimed at increasing the overall volumetric mass transfer coefficient, absorption rate, cyclic capacity and greatly minimizing both degradation and the energy for solvent regeneration.

TL;DR: In this article, the authors apply Lauryl Betaine as an amphoteric surfactant to the injected fluids into the micromodel and compare the results with conventional EOR techniques such as water flooding, solvent flooding, and micro-emulsion flooding.

TL;DR: An intelligent model based on support vector machine in combination with the particle swarm optimization (PSO-SVM) technique was established to predict oil recovery factor in the low-permeability reservoir using whole data sets collected in the open literature and compared with PSO-BP neural network, empirical method.

TL;DR: A new empirical correlation extracted from ANN is presented based on 760 experimental data points for different oils with different compositions and showed that the ANN model yielded the highest correlation coefficient and lowest average absolute error for OFVF prediction as a function of the specific gravity of gas, the dissolved gas to oil ratio, the oil specific gravity, and the temperature of the reservoir compared with ANFIS and SVM.

TL;DR: In this article, a hybrid of low-salinity water, surfactant, and CO2 flood enhanced oil recovery (EOR) process was investigated, and coreflood and contact angle between oil droplets and core surface measurements were performed.

TL;DR: In this paper, different pressure control schemes were tested by 1-D core-flooding experiments to obtain an optimized one, and numerical simulations were conducted to history match all experimental data to understand the mechanisms and characteristics of different CO2 flooding strategies.

TL;DR: In this article, the authors discuss the optimum huff-n-puff times, number of cycles and soaking time under practical operational and reservoir conditions, and show that the benefits of soaking may not compensate the loss in injection and production due to the time lost in the soaking period.

TL;DR: Three criteria called reliability, availability and maintainability (RAM) have been employed to compare to future maintenance strategies and are proposed to propose a new approach to evaluate maintenance strategies.

TL;DR: In this article, the combined effect of the aspect ratio (within the range of 1-15) and the sparger design (considering both coarse and fine spargers) on the gas holdup in a large-diameter and large-scale gas-liquid bubble column was investigated.

TL;DR: In this paper, the authors investigate swelling inhibitive feature and side effects of Henna extract in water-based drilling fluids (WBDFs) through extensive experiments including adsorption measurements on shale by batch equilibrium, inhibition evaluation by dynamic linear swelling and cuttings dispersion, wettability alteration via contact angle measurements, compatibility by rheological properties determinations and fluid loss measurements, and lubricity.

TL;DR: In this article, the influence of three commercial inhibitors, namely; Cetyl Terimethyl Ammonium Bromide (CTAB), Sodium Dodecyl Sulfate (SDS), Triton X-100 and four non-commercial (Benzene, Benzoic acid, Salicylic acid, Naphthalene) inhibitors on two Iranian crude oils were investigated.

TL;DR: In this article, a comprehensive critical review for different techniques serve to determine onset of asphaltene precipitation along with comparing their advantages and disadvantages is presented, since each method presents its own definition for onset, such as onset of precipitation, clustering and deposition; it is necessary to distinguish their difference based on underlying physical mechanisms.

TL;DR: In this paper, a sensitivity study was carried out to investigate the performances of two commercial codes, OLGA and LedaFlow, used to model the wax deposition process in pipelines under multiphase flow.

TL;DR: In this article, an attempt was made to highlight the importance of residual gas on the capacity, injectivity, reservoir pressurization, and trapping mechanisms of storage sites through the use of numerical simulation.

TL;DR: In this article, reliable models are developed in this study on the basis of powerful artificial intelligence techniques viz. the artificial neural network (ANN) modelling strategy, least square support vector machine (LSSVM) approach, adaptive neuro-fuzzy inference system (ANFIS), and decision tree (DT) method for the prediction of cumulative gas production as well as initial decline rate multiplied by time as a function of the Arps' decline curve exponent and ratio of initial gas flow rate over total gas flow ratio.

TL;DR: In this article, the feasibility and potential of air injection in shale oil reservoirs based on state-of-the-art literature review is discussed in an analogy analysis on geology, reservoir features, temperature, pressure, and petrophysical, mineral and crude oil properties.

TL;DR: In this article, the physical and chemical characteristics and direct aqueous mineral carbonation of red gypsum have been investigated, and the characterization studies showed that red gyspsum is a very potential feedstock for mineral carbonations.

TL;DR: In this article, the minimum miscibility pressure (MMP) of reservoir live oil-injection gas system is determined experimentally and numerically with a Bakken live oil.

TL;DR: In this paper, the catalysts γ-alumina (GA, the reference catalyst) and Pt doped γ aluminina (PGA-s) were synthesized using a simple sol-gel technique, in which at first preparation of porous base (GA), then impregnation of platinum salt over the base and finally reduction of platinum in the surface of the support were done.

TL;DR: In this paper, the authors provided a preliminary assessment of a gas field located in Malaysia for its storage potential based on subsurface characterization prior to injection, which indicated that the pore type and fabrics analysis is very beneficial to identify suitable locations for a successful storage practice.

TL;DR: In this paper, the lattice Boltzmann method (LBM) is implemented in the Particle Flow Code (PFC) as a pore-scale CFD module and coupled with the particulate discrete element assemblage in PFC using an immersed boundary scheme.

TL;DR: In this paper, a case is made for the strong theoretical basis and practical advantages of the time-temperature index (∑TTIARR) method, first published in 1998, using a single, carefully selected E-A set (E = 218kJ/mol (52.1kcal/mol); A = 5.45E+26/my) from the well-established A-E trend for published kerogen kinetics.

TL;DR: In this article, the effectiveness of the CO 2 injection process at different periods during gas-condensate reservoir development was investigated, and the results showed that CO 2 treatment can improve gas productivity by a factor of about 1.39 compared with the water flooding mode.

TL;DR: In this article, the effect of water vaporization and precipitation of halite around a single well from stage production to CO 2 injection was investigated to investigate the effect on reservoir properties in a gas reservoir.