Upstream Compression Applications

Allison, Timothy C.; Singh, Avneet; Thorp, Joseph

doi:10.1016/b978-0-12-814683-5.00008-0

Cited by 5 publications

(3 citation statements)

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“…Adsorbed molecules are selected based on polarity and size upon the molecular sieve that has a regular lattice structure. The feed to gas plants often includes considerable amounts of H 2 S (sour gas) or both H 2 S and CO 2 (acid gas) . The adsorption of hydrogen sulfide on H-ZSM5 and Na-ZSM5 was investigated by Garcia and Lercher using IR spectroscopy, and the surface chemistry was examined at equilibrium pressures of hydrogen sulfide up to 0.5 mbar; they found that Si–OH–Al bonds were formed, and molecular adsorption was observed in both zeolite (Na- and H-) ZSM-5 .…”

Section: Introductionmentioning

confidence: 99%

Acid Gas Removal by Superhigh Silica ZSM-5: Adsorption Isotherms of Hydrogen Sulfide, Carbon Dioxide, Methane, and Nitrogen

Rahmani

Mokhtarani

Mafi

et al. 2022

Ind. Eng. Chem. Res.

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The adsorption of acid gas, including hydrogen sulfide and carbon dioxide, by superhigh silica ZSM-5 was investigated. Equilibrium adsorption isotherms of high-purity hydrogen sulfide and carbon dioxide were measured experimentally using this new sorbent. In addition, methane and nitrogen adsorption isotherms on this MFI-type zeolite were also measured as representative of other natural gas components. To enhance the reliability of the results, the adsorption pressure has been selected up to 20 bar at three different temperatures. Superhigh silica ZSM-5 for the adsorption of hydrogen sulfide shows an impressive result of 3.04 mmol•g −1 at 12 bar and 283 K. This value was 2.69 mmol•g −1 for carbon dioxide at 21 bar and 283 K. The adsorption capacity of H 2 S on the ZSM-5 is the highest, and N 2 is the lowest; the order of the adsorption capacities of components is H 2 S > CO 2 > CH 4 > N 2 . The adsorption heat of different adsorbates is calculated: 13.7 and 29.5 kJ•mol −1 for H 2 S and CO 2 , respectively. Physical adsorption has occurred on high-silica ZSM-5, especially for hydrogen sulfide, and this is a great advantage. By increasing the temperature, the adsorption capacity of components on the ZSM-5 decreases, but due to differences in the adsorption heat of the adsorbate, the ideal selectivity for hydrogen sulfide increases. There is a challenge in the choice of the best condition for H 2 S removal, as, by increasing the temperature, the adsorption capacity of hydrogen sulfide reduces, but the selectivity of the hydrogen sulfide increases as compared to other gases. This phenomenon is not true for the selectivity of other components.

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Section: Introductionmentioning

confidence: 99%

Acid Gas Removal by Superhigh Silica ZSM-5: Adsorption Isotherms of Hydrogen Sulfide, Carbon Dioxide, Methane, and Nitrogen

Rahmani

Mokhtarani

Mafi

et al. 2022

Ind. Eng. Chem. Res.

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“…During production, crude oil flows from the reservoir to the wellbore where flow is controlled with the choke valve, and sent to the separator, resulting in oil, water, and gas fluids. Gas streams are sent to a processing facility for treatment, after which, its recompressed and sent to the transmission pipe, Allison et al (2019). Natural gas is transported mostly by pipeline reaching thousands of kilometers across international borders, where great distance covered leads to significant pressure loss, resulting in an inadequate flow and insufficient pressure.…”

Section: Introductionmentioning

confidence: 99%

“…Likewise, Dandy et al (1996) optimized a design for New York ground water tunnel using an improved genetic algorithm (IGA), this design serves as an extension of the preexisting tunnel. The algorithm was modified with the addition of variable power scaling of the fitness function, an adjacency mutation operator and use of gray codes.…”

Section: Introductionmentioning

confidence: 99%

Optimization of a gas network fuel consumption with genetic algorithm

Takerhi

Dąbrowski

2022

Energy Exploration & Exploitation

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In this paper genetic algorithm (GA) was used for the optimization of two natural gas network, the study focuses on fuel consumption minimization of the second gas network. Studies using GA to simultaneously optimize a gas network and a compressor station based on the constraint of the gas network and compressor station are limited. The relationship between several compressor speed and the total fuel consumption and the relationship between the sum of pressure drop in compressor station loops and compressor inlet flow are assessed for optimization. For this purpose, the optimization of two networks was presented and the results were compared with result from analytical methods. The first network problem was to determine the flow rates and node pressures under a given load, which serves as a guide in using GA. Comparison with result from analytical solution showed good agreement of predicted values. The second network consisted of two compressor stations, each containing six compressors with the objective to optimize the fuel consumption of the system. The simulation was divided into two main simulations, the first simulation was the flow optimization, which results in the optimum flow, based on the fitness function, which is the summation of pressure loss for each compressor station. In the second simulation which was the speed optimization, the optimum set of compressor speed was obtained which depends on the fitness function, which is the minimum fuel consumption, the flow obtained from the flow optimization served as input and remained constant. All speeds were simulated together. The predicted results were compared with literature and showed GA can be used for compressor station fuel optimization but still requires improvement. Based on the outcomes, data on natural gas network operations should be accessible to encourage studies on fuel consumption and CO2 emissions minimization.

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