in this paper, a model based on gmdh type neural network, is used to predict gas price in the spot market while using oil spot market price, gas spot market price, gas future market price, oil future market price and average temperature of the weather. the results suggest that gmdh neural network model, according to the root mean squared error (rmse) and direction statistics (dstat) statistics ...

This report analyzes the technical aspects and the economics of utilizing nuclear reactor to provide the energy needed for a Canadian oil sands extraction facility using SteamAssisted Gravity Drainage (SAGD) technology. The energy from the nuclear reactor would replace the need for energy supplied by natural gas, which is currently burned at these facilities. There are a number of concerns surr...

To evaluate the biological potential and medicinal properties, the biochemical compositions and quantity and quality of essential oil of Marrubium vulgare L., grown in the natural habitat located in Guynik region, North Khorasan province, were investigated. The content of secondary metabolites including phenol and flavonoids, and antioxidant capacity were measured in laboratory methods. Essenti...

Oil and gas industry operations span the globe, encountering unique operational and business climates in a variety of regions. This reality presents many challenges for companies that are characterizing their greenhouse gas (GHG) emissions and developing GHG management strategies for diverse multinational facilities. For these companies, the consistency, reliability, and credibility of the meth...

An indicator of bypassing is a premature drop in gas-oil ratio; i.e., earlier than expected collapse of gas saturation. Early gas collapse (water fillup) may indicate that channeling has occurred. In layered reservoirs with no or little vertical crossflow, water injection in an initially depressurized layer will cause GOR to drop rapidly. Often naturally fractured reservoirs exhibit fast gas co...

Understanding the dynamics of pore-scale multicomponent gas and oil mass transfer across water "lms during hydrocarbon gas injection in petroleum reservoirs is important in the design of tertiary oil recovery schemes at the "eld scale. The water "lms prevent oil and gas coming into direct contact and, for miscible gas injection, delay the onset of miscibility. We use a pore-scale model to descr...

Previous economic analyses focused on relationships between crude oil and natural gas markets centered primarily on demand-side considerations. We provide evidence that two important supply-side connections play important roles in understanding crude oil and natural gas market integration. First, crude oil production and natural gas production require a common capital input: rotary drilling rig...

In this paper, a hybrid particle swarm optimization based on the natural selection (NPSO) was presented and used to optimize the parameters of Least Square Support Vector Machine (LSSVM). The NPSO algorithm overcomes the shortcomings of premature convergence and poor local search capability of traditional Particle Swarm Optimization (PSO). Then a classification model of oil-gas-water three-phas...