Fundamentals of crude oil and natural gas processing

This training manual includes term project methodical guide on the course "Fundamentals of crude oil and natural gas processing" in English. The main purpose of the training manual is to provide students the theoretical and methodological assistance at performance the term project on the course "Fundamentals of crude oil and natural gas processing". The manual contains the initial data and reference material needed to perform the calculations. The manual is intended for the students of speciality 6.050304 "Oil and gas production" in English

Fundamentals of crude oil and natural gas processing

This training manual includes term project methodical guide on the course "Fundamentals of crude oil and natural gas processing" in English. The main purpose of the training manual is to provide students the theoretical and methodological assistance at performance the term project on the course "Fundamentals of crude oil and natural gas processing". The manual contains the initial data and reference material needed to perform the calculations. The manual is intended for the students of speciality 6.050304 "Oil and gas production" in English

Heat-Integrated Design for Natural Gas Processing

Analysis and design of chemical technological processes is faster and more effective when using simulations. The greatest advantage of simulations consists in saving of costs on experiments with production facility that are for the most part substituted by calculations. We have illustrated flowsheet simulator usage with a case study. The simulation of an expander plant to recover the heavy components from natural gas is presented and heat-integrated process is proposed

Implementation of startup sequencing and operation of natural gas processing units using the AHP method

The natural gas processing industry supplies products and derivatives to society and is intended to meet the demand of a competitive market aligned to lean production and process optimization. Thus, this industry is composed of industrial parks, that have more than one natural gas processing unit and requires assertive decision making, to define the starting sequencing and operation of these units. This selection is strategic for the organization and must meet several criteria, such as: the market's demand, production flow, production efficiency, waste reduction, lean production, among others. The objective of this work is define the optimal start sequencing of 4 natural gas processing units, which go into parallel operation according to demand. Owing to the multivariate nature of processing plants, the analytic hierarchy process (AHP) was used to optimize this decision making step. At the end of this work, we present the results obtained by AHP method, as well as the feasibility analysis, optimized start-up sequencing and proposals for the continuation of this study

Natural Gas Processing for Removal of Sour Gases and their Storage for Production of LNG and its gasification

This thesis discusses many aspects of natural gas processing namely sour gases separation, CO2 sequestration for EOR, and natural gas regasification. Two technologies of sour gases removal processes have been simulated using HYSYS. In addition, an experimental study of the effect the porosity in the real rock in underground reservoir on CO2 injection has been conducted. Finally, an innovative finned vaporizer with invasive defrosting method has been tested experimentally in a pilot-scale forced-draft unit. Defrosting was performed by using a hot MEG-water solution cycle

Optimal Operation Of Multiple Cryogenic Bed Network For Purification Of Malaysian Natural Gas

Natural gas processing consists of separating all of the various hydrocarbons and impurities from the wellhead gas, to produce what is known as 'pipeline quality' dry natural gas. The present study investigates the optimal conditions for the multiple cryogenic packed beds network which separates water, carbon dioxide and heavy hydrocarbons from high pressure natural gas. The working principle of multiple cryogenic packed beds network is based on the difference in desublimation temperature of each component in natural gas. In general, the separation process involves three cycles, namely cooling cycle, capture cycle and regeneration cycle. During cooling cycle, refrigerant is used to cool the packed bed. When the packed bed is cooled to a desired temperature, which is below the desublimation temperature of the component to be removed, for instance carbon dioxide, natural gas feed is introduced into the packed bed and the capture cycle began. When the bed reaches its saturation point and is no longer efficient in capturing carbon dioxide, the refrigerant flow is cut off in order to regenerate the packed bed by utilizing hot air or hot carbon dioxide flow to vaporize the solid carbon dioxide that formed on the solid packing surface. In present study the optimal temperature and pressure conditions for natural gas processing are explored. For natural gas feed of 40% carbon dioxide, multiple cryogenic packed beds network with optimal pressure and temperature combinations is able to produce methane gas with 92% purity

Dynamic Modelling and Optimisation of Large-Scale Cryogenic Separation Processes

In this work, the open loop dynamic optimisation of a large-scale natural gas processing plant is performed. A rigorous differential-algebraic equation (DAE) model has been formulated to represent main plant units, such as shell and tube heat exchangers, highpressure separator and demethanizing column. In the shell and tube heat exchangers, the hot stream partially condenses and equations to consider the partial condensation of the fluids have been included. A rigorous index one model for the demethanizing column has been developed. The DAE optimisation problem is solved with a simultaneous approach, in which both state and control variables are discretised and the original DAE optimisation model is transformed into a large-scale nonlinear problem (NLP), which is solved using Sequential Quadratic Programming (SQP) methods. Optimal profiles have been obtained for main operating variables to achieve an enhanced product recovery.Fil: Rodriguez, Mariela Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Díaz, María Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentin