Published

2019-04-01

The quantitative prediction of tectonic fractures of Longmaxi formation in Dingshan area, southeastern Sichuan Basin

Predicción cuantitativa de fracturas tectónicas en la formación Longmaxi del área Dingshan, en el suroriente de la cuenca Sichuan

DOI:

https://doi.org/10.15446/esrj.v23n2.79957

Keywords:

Dingshan area, Longmaxi Formation, tectonic fracture, binary method, quantitative prediction (en)
Área Dingshan, Formación Longmaxi, fracturas tectónicas, método binario, predicción cuantitativa (es)

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Authors

  • Jiatong Xie State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
  • Qirong Qin State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
  • Cunhui Fan State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
  • Dongfeng Hu Exploration Company - SINOPEC
  • Hu Li State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation

Tectonic fractures are a significant factor for production of the Longmaxi formation in Dingshan area. The analyse of the distribution and development degree of tectonic fractures is the main research method in present-day. Based on the data of field outcrops and borehole core, the new method-binary method is put forward by rock fracture and energy value to decide tectonic fracture development. According to the method the fitting formula is offered between the relation of the value of rock fracture, energy and the fracture density. Compared the fracture density predictive value and the observed value of 15 wells, all wells relative error less than 25%. The prediction results are accurate. According to the fitting formula of fracture development and distribution in the study area are obtained. The results show that the fracture density is high as a whole of the Longmaxi formation in Dingshan area. Whole shows by south east to gradually reduce the trend of the north west. Supported the future of the oil and gas exploration to provide geological basis and guidance in Dingshan area.

Las fracturas tectónicas son un factor determinante en la producción en la formación Longmaxi, en el área Dingsahn. El análisis de la distribución y grado de desarrollo de las fracturas tectónicas es uno de los principales métodos de investigación en nuestros días. Con base en la información de los afloramientos y el núcleo del pozo, el nuevo método binario se presenta como valor de las fracturas rocosas y de energía para decidir el desarrollo de las fracturas tectónicas. De acuerdo con este método, se ofrece una formula de ajuste sobre la relación del valor de la fractura de la roca, la energía y la densidad de la fractura. Al comparar el valor predictivo de la densidad de fractura y el valor observado en 15 pozos, todos los pozos tienen un error relativo menor al 25 %. La predicción de resultados es exacta. Gracias a la formula de ajuste se obtuvo el desarrollo de la fractura y la distribución en el área de estudio. Los resultados muestran que la densidad de la fractura es tan alta como la de la Formación Longmaxi en el área de Dingshan. Los resultados muestran que el sudeste gradualmente reduce la tendencia del noroeste. Estos hallazgos respaldan el futuro de la exploración de gas y petróleo que aporten a las bases geológicas para el área de Dingshan.

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How to Cite

APA

Xie, J., Qin, Q., Fan, C., Hu, D. and Li, H. (2019). The quantitative prediction of tectonic fractures of Longmaxi formation in Dingshan area, southeastern Sichuan Basin. Earth Sciences Research Journal, 23(2), 157–162. https://doi.org/10.15446/esrj.v23n2.79957

ACM

[1]
Xie, J., Qin, Q., Fan, C., Hu, D. and Li, H. 2019. The quantitative prediction of tectonic fractures of Longmaxi formation in Dingshan area, southeastern Sichuan Basin. Earth Sciences Research Journal. 23, 2 (Apr. 2019), 157–162. DOI:https://doi.org/10.15446/esrj.v23n2.79957.

ACS

(1)
Xie, J.; Qin, Q.; Fan, C.; Hu, D.; Li, H. The quantitative prediction of tectonic fractures of Longmaxi formation in Dingshan area, southeastern Sichuan Basin. Earth sci. res. j. 2019, 23, 157-162.

ABNT

XIE, J.; QIN, Q.; FAN, C.; HU, D.; LI, H. The quantitative prediction of tectonic fractures of Longmaxi formation in Dingshan area, southeastern Sichuan Basin. Earth Sciences Research Journal, [S. l.], v. 23, n. 2, p. 157–162, 2019. DOI: 10.15446/esrj.v23n2.79957. Disponível em: https://revistas.unal.edu.co/index.php/esrj/article/view/79957. Acesso em: 19 jul. 2024.

Chicago

Xie, Jiatong, Qirong Qin, Cunhui Fan, Dongfeng Hu, and Hu Li. 2019. “The quantitative prediction of tectonic fractures of Longmaxi formation in Dingshan area, southeastern Sichuan Basin”. Earth Sciences Research Journal 23 (2):157-62. https://doi.org/10.15446/esrj.v23n2.79957.

Harvard

Xie, J., Qin, Q., Fan, C., Hu, D. and Li, H. (2019) “The quantitative prediction of tectonic fractures of Longmaxi formation in Dingshan area, southeastern Sichuan Basin”, Earth Sciences Research Journal, 23(2), pp. 157–162. doi: 10.15446/esrj.v23n2.79957.

IEEE

[1]
J. Xie, Q. Qin, C. Fan, D. Hu, and H. Li, “The quantitative prediction of tectonic fractures of Longmaxi formation in Dingshan area, southeastern Sichuan Basin”, Earth sci. res. j., vol. 23, no. 2, pp. 157–162, Apr. 2019.

MLA

Xie, J., Q. Qin, C. Fan, D. Hu, and H. Li. “The quantitative prediction of tectonic fractures of Longmaxi formation in Dingshan area, southeastern Sichuan Basin”. Earth Sciences Research Journal, vol. 23, no. 2, Apr. 2019, pp. 157-62, doi:10.15446/esrj.v23n2.79957.

Turabian

Xie, Jiatong, Qirong Qin, Cunhui Fan, Dongfeng Hu, and Hu Li. “The quantitative prediction of tectonic fractures of Longmaxi formation in Dingshan area, southeastern Sichuan Basin”. Earth Sciences Research Journal 23, no. 2 (April 1, 2019): 157–162. Accessed July 19, 2024. https://revistas.unal.edu.co/index.php/esrj/article/view/79957.

Vancouver

1.
Xie J, Qin Q, Fan C, Hu D, Li H. The quantitative prediction of tectonic fractures of Longmaxi formation in Dingshan area, southeastern Sichuan Basin. Earth sci. res. j. [Internet]. 2019 Apr. 1 [cited 2024 Jul. 19];23(2):157-62. Available from: https://revistas.unal.edu.co/index.php/esrj/article/view/79957

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