USO DE NEUROSIMULACIÓN EN EL POSICIONAMIENTO DE POZOS DURANTE EL DESARROLLO DE UN CAMPO DE HIDROCARBUROS
This paper shows the implementation of a neurosimulation technique for the well placement applied to the development of a heterogeneous hydrocarbon field with an irregular geometry. During the development of a hydrocarbon field the well placement is a major task, because a small change in location c...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Industrial de Santander
2009-12-01
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| Series: | Revista Fuentes El Reventón Energético |
| Subjects: | |
| Online Access: | https://revistas.uis.edu.co/index.php/revistafuentes/article/view/702/991 |
| _version_ | 1828216786186665984 |
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| author | Elkin Rodolfo Santafe Rangel Hector Emiliano Barrios Molano |
| author_facet | Elkin Rodolfo Santafe Rangel Hector Emiliano Barrios Molano |
| author_sort | Elkin Rodolfo Santafe Rangel |
| collection | DOAJ |
| description | This paper shows the implementation of a neurosimulation technique for the well placement applied to the development of a heterogeneous hydrocarbon field with an irregular geometry. During the development of a hydrocarbon field the well placement is a major task, because a small change in location can make gains or losses of money during the remaining productive life of the field; this paper presents a neurosimulation technique as an alternative to conventional methods of well placement which are expensive and consume large amounts of time. This technique is a bridge between hard-computing and soft-computing; effectively mixes artificial neural networks (ANN) and numerical reservoir simulation, in this way using the numerical reservoir simulation in a combination of training wells, production data are obtained along with other data which are used to train and adjust the network, then a large number of scenarios are generated which are evaluated by the trained ANN, the best results are verified whit the numerical reservoir simulation, and then it is possible to predict the rate at which the wells will produce and the cumulative hydrocarbon production.
For the development of this work open source tools and free software was used to encourage their use and development in research, in academia and in hydrocarbon industry.
This work shows an alternative method of selecting wells that produce fast and accurate results, with which it is easy to take the decision about where is the best place to drill new wells during the development of a hydrocarbon field. |
| first_indexed | 2024-04-12T15:37:16Z |
| format | Article |
| id | doaj.art-f2222198527f43e29e7bd5b73068fa78 |
| institution | Directory Open Access Journal |
| issn | 1657-6527 2145-8502 |
| language | English |
| last_indexed | 2024-04-12T15:37:16Z |
| publishDate | 2009-12-01 |
| publisher | Universidad Industrial de Santander |
| record_format | Article |
| series | Revista Fuentes El Reventón Energético |
| spelling | doaj.art-f2222198527f43e29e7bd5b73068fa782022-12-22T03:26:55ZengUniversidad Industrial de SantanderRevista Fuentes El Reventón Energético1657-65272145-85022009-12-01724961USO DE NEUROSIMULACIÓN EN EL POSICIONAMIENTO DE POZOS DURANTE EL DESARROLLO DE UN CAMPO DE HIDROCARBUROSElkin Rodolfo Santafe Rangel0Hector Emiliano Barrios Molano1UNIVERSIDAD INDUSTRIAL DE SANTANDERUNIVERSIDAD INDUSTRIAL DE SANTANDERThis paper shows the implementation of a neurosimulation technique for the well placement applied to the development of a heterogeneous hydrocarbon field with an irregular geometry. During the development of a hydrocarbon field the well placement is a major task, because a small change in location can make gains or losses of money during the remaining productive life of the field; this paper presents a neurosimulation technique as an alternative to conventional methods of well placement which are expensive and consume large amounts of time. This technique is a bridge between hard-computing and soft-computing; effectively mixes artificial neural networks (ANN) and numerical reservoir simulation, in this way using the numerical reservoir simulation in a combination of training wells, production data are obtained along with other data which are used to train and adjust the network, then a large number of scenarios are generated which are evaluated by the trained ANN, the best results are verified whit the numerical reservoir simulation, and then it is possible to predict the rate at which the wells will produce and the cumulative hydrocarbon production. For the development of this work open source tools and free software was used to encourage their use and development in research, in academia and in hydrocarbon industry. This work shows an alternative method of selecting wells that produce fast and accurate results, with which it is easy to take the decision about where is the best place to drill new wells during the development of a hydrocarbon field.https://revistas.uis.edu.co/index.php/revistafuentes/article/view/702/991Neurosimulationartificial neural networksreservoirs numeric simulationmature fieldshydrocarbon field developmentfree softwarepython |
| spellingShingle | Elkin Rodolfo Santafe Rangel Hector Emiliano Barrios Molano USO DE NEUROSIMULACIÓN EN EL POSICIONAMIENTO DE POZOS DURANTE EL DESARROLLO DE UN CAMPO DE HIDROCARBUROS Revista Fuentes El Reventón Energético Neurosimulation artificial neural networks reservoirs numeric simulation mature fields hydrocarbon field development free software python |
| title | USO DE NEUROSIMULACIÓN EN EL POSICIONAMIENTO DE POZOS DURANTE EL DESARROLLO DE UN CAMPO DE HIDROCARBUROS |
| title_full | USO DE NEUROSIMULACIÓN EN EL POSICIONAMIENTO DE POZOS DURANTE EL DESARROLLO DE UN CAMPO DE HIDROCARBUROS |
| title_fullStr | USO DE NEUROSIMULACIÓN EN EL POSICIONAMIENTO DE POZOS DURANTE EL DESARROLLO DE UN CAMPO DE HIDROCARBUROS |
| title_full_unstemmed | USO DE NEUROSIMULACIÓN EN EL POSICIONAMIENTO DE POZOS DURANTE EL DESARROLLO DE UN CAMPO DE HIDROCARBUROS |
| title_short | USO DE NEUROSIMULACIÓN EN EL POSICIONAMIENTO DE POZOS DURANTE EL DESARROLLO DE UN CAMPO DE HIDROCARBUROS |
| title_sort | uso de neurosimulacion en el posicionamiento de pozos durante el desarrollo de un campo de hidrocarburos |
| topic | Neurosimulation artificial neural networks reservoirs numeric simulation mature fields hydrocarbon field development free software python |
| url | https://revistas.uis.edu.co/index.php/revistafuentes/article/view/702/991 |
| work_keys_str_mv | AT elkinrodolfosantaferangel usodeneurosimulacionenelposicionamientodepozosduranteeldesarrollodeuncampodehidrocarburos AT hectoremilianobarriosmolano usodeneurosimulacionenelposicionamientodepozosduranteeldesarrollodeuncampodehidrocarburos |