Natural gas production and processing covers from gas reservoir to processing facility. The former is the upstream of natural gas and it involves subsurface activities of the natural gas production. The latter is the downstream of natural gas and it involves surface processing of the natural gas. Natural gas hydrate formation occurs at the subsurface, but much concern is on the downstream of natural gas processing. In fact, the processing of the natural gas is to reduce the concentration of unwanted component in the gas stream, to avoid flow assurance issues when transporting the gas through pipelines. Hydrate formations affect gas flow rate and increase operating cost. Predicting hydrate formation condition, will enable gas pipeline operators to operate the facility to avoid hydrate formation. In this study, an empirical model was developed to predict hydrate formation temperature in gas pipeline. The independent variable for the model were pressure, gas specific gravity and methane composition (which existing models does not consider) and the target variable is temperature. Different functions (logarithmic, polynomial, exponential etc) were tested for the model and the best fit for the model were logarithmic and polynomial functions. This agreed with existing models which has either only logarithmic or polynomial functions. The results obtained from the developed nonlinear empirical model shows that the R-squared was 0.94 and the errors (residuals) between the observed and predicted temperature were scattered around zero. The model compares well with existing models, especially with model that contains logarithmic and polynomial function. The nonlinear empirical model has the capability to predict very low temperature of hydrate formation. It can be used as a first check in predicting gas hydrate formation temperature in pipeline, given the pressure, gas specific gravity and composition of the gas.
| Published in | Petroleum Science and Engineering (Volume 7, Issue 2) |
| DOI | 10.11648/j.pse.20230702.11 |
| Page(s) | 22-34 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Gas Hydrate, Empirical, Pipeline, Formation, Reservoir
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APA Style
Lesor, I., Kingdom Onyemuche, C., Victory, O. (2023). Empirical Model for Predicting Gas Hydrate Formation in Gas Pipelines. Petroleum Science and Engineering, 7(2), 22-34. https://doi.org/10.11648/j.pse.20230702.11
ACS Style
Lesor, I.; Kingdom Onyemuche, C.; Victory, O. Empirical Model for Predicting Gas Hydrate Formation in Gas Pipelines. Pet. Sci. Eng. 2023, 7(2), 22-34. doi: 10.11648/j.pse.20230702.11
AMA Style
Lesor I, Kingdom Onyemuche C, Victory O. Empirical Model for Predicting Gas Hydrate Formation in Gas Pipelines. Pet Sci Eng. 2023;7(2):22-34. doi: 10.11648/j.pse.20230702.11
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Download@article{10.11648/j.pse.20230702.11,
author = {Ikeh Lesor and Choko, Kingdom Onyemuche and Oghale Victory},
title = {Empirical Model for Predicting Gas Hydrate Formation in Gas Pipelines},
journal = {Petroleum Science and Engineering},
volume = {7},
number = {2},
pages = {22-34},
doi = {10.11648/j.pse.20230702.11},
url = {https://doi.org/10.11648/j.pse.20230702.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pse.20230702.11},
abstract = {Natural gas production and processing covers from gas reservoir to processing facility. The former is the upstream of natural gas and it involves subsurface activities of the natural gas production. The latter is the downstream of natural gas and it involves surface processing of the natural gas. Natural gas hydrate formation occurs at the subsurface, but much concern is on the downstream of natural gas processing. In fact, the processing of the natural gas is to reduce the concentration of unwanted component in the gas stream, to avoid flow assurance issues when transporting the gas through pipelines. Hydrate formations affect gas flow rate and increase operating cost. Predicting hydrate formation condition, will enable gas pipeline operators to operate the facility to avoid hydrate formation. In this study, an empirical model was developed to predict hydrate formation temperature in gas pipeline. The independent variable for the model were pressure, gas specific gravity and methane composition (which existing models does not consider) and the target variable is temperature. Different functions (logarithmic, polynomial, exponential etc) were tested for the model and the best fit for the model were logarithmic and polynomial functions. This agreed with existing models which has either only logarithmic or polynomial functions. The results obtained from the developed nonlinear empirical model shows that the R-squared was 0.94 and the errors (residuals) between the observed and predicted temperature were scattered around zero. The model compares well with existing models, especially with model that contains logarithmic and polynomial function. The nonlinear empirical model has the capability to predict very low temperature of hydrate formation. It can be used as a first check in predicting gas hydrate formation temperature in pipeline, given the pressure, gas specific gravity and composition of the gas.
},
year = {2023}
}
TY - JOUR T1 - Empirical Model for Predicting Gas Hydrate Formation in Gas Pipelines AU - Ikeh Lesor AU - Choko, Kingdom Onyemuche AU - Oghale Victory Y1 - 2023/11/29 PY - 2023 N1 - https://doi.org/10.11648/j.pse.20230702.11 DO - 10.11648/j.pse.20230702.11 T2 - Petroleum Science and Engineering JF - Petroleum Science and Engineering JO - Petroleum Science and Engineering SP - 22 EP - 34 PB - Science Publishing Group SN - 2640-4516 UR - https://doi.org/10.11648/j.pse.20230702.11 AB - Natural gas production and processing covers from gas reservoir to processing facility. The former is the upstream of natural gas and it involves subsurface activities of the natural gas production. The latter is the downstream of natural gas and it involves surface processing of the natural gas. Natural gas hydrate formation occurs at the subsurface, but much concern is on the downstream of natural gas processing. In fact, the processing of the natural gas is to reduce the concentration of unwanted component in the gas stream, to avoid flow assurance issues when transporting the gas through pipelines. Hydrate formations affect gas flow rate and increase operating cost. Predicting hydrate formation condition, will enable gas pipeline operators to operate the facility to avoid hydrate formation. In this study, an empirical model was developed to predict hydrate formation temperature in gas pipeline. The independent variable for the model were pressure, gas specific gravity and methane composition (which existing models does not consider) and the target variable is temperature. Different functions (logarithmic, polynomial, exponential etc) were tested for the model and the best fit for the model were logarithmic and polynomial functions. This agreed with existing models which has either only logarithmic or polynomial functions. The results obtained from the developed nonlinear empirical model shows that the R-squared was 0.94 and the errors (residuals) between the observed and predicted temperature were scattered around zero. The model compares well with existing models, especially with model that contains logarithmic and polynomial function. The nonlinear empirical model has the capability to predict very low temperature of hydrate formation. It can be used as a first check in predicting gas hydrate formation temperature in pipeline, given the pressure, gas specific gravity and composition of the gas. VL - 7 IS - 2 ER -
Department of Petroleum and Gas Engineering, Faculty of Engineering, University of Port Harcourt, Port Harcourt, Nigeria
