Generating Porosity Spectrum of Carbonate Reservoirs using Ultrasonic Imaging Log

• Autorzy: Zhang J. , Nie X. , Xiao S. , Zhang C. , Zhang C. , Zhang Z.

Identyfikatory

DOI

10.1007/s11600-018-0134-1

• Języki publikacji: EN

Abstrakty

EN

Imaging logging tools can provide us the borehole wall image. The micro-resistivity imaging logging has been used to obtain borehole porosity spectrum. However, the resistivity imaging logging cannot cover the whole borehole wall. In this paper, we propose a method to calculate the porosity spectrum using ultrasonic imaging logging data. Based on the amplitude attenuation equation, we analyze the factors affecting the propagation of wave in drilling fluid and formation and based on the bulk-volume rock model, Wyllie equation and Raymer equation, we establish various conversion models between the reflection coefficient β and porosity φ. Then we use the ultrasonic imaging logging and conventional wireline logging data to calculate the near-borehole formation porosity distribution spectrum. The porosity spectrum result obtained from ultrasonic imaging data is compared with the one from the microresistivity imaging data, and they turn out to be similar, but with discrepancy, which is caused by the borehole coverage and data input difference. We separate the porosity types by performing threshold value segmentation and generate porosity-depth distribution curves by counting with equal depth spacing on the porosity image. The practice result is good and reveals the efficiency of our method.

Słowa kluczowe

EN

carbonate resevoir; porosity spectrum; ultrasonic imaging; well logging analysis

PL

złoża węglanowe; widmo porowatości; obrazowanie ultradźwiękowe

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2018
• Tom: Vol. 66, no. 2
• Strony: 191--201
• Opis fizyczny: Bibliogr. 19 poz.

Twórcy

autor

Zhang J.

• Key Laboratory of Exploration Technologies for Oil and Gas Resources, Yangtze University, Wuhan, China
• School of Geophysics and Oil Resource, Yangtze University, Wuhan, China

autor

Nie X.

• Key Laboratory of Exploration Technologies for Oil and Gas Resources, Yangtze University, Wuhan, China
• School of Geophysics and Oil Resource, Yangtze University, Wuhan, China
• Georgia Institute of Technology, Atlanta, USA

autor

Xiao S.

• Jianghan Oilfield Branch of Sinopec Group, Qianjiang, China

autor

Zhang C.

• Key Laboratory of Exploration Technologies for Oil and Gas Resources, Yangtze University, Wuhan, China
• School of Geophysics and Oil Resource, Yangtze University, Wuhan, China

autor

Zhang C.

• Key Laboratory of Exploration Technologies for Oil and Gas Resources, Yangtze University, Wuhan, China
• School of Geophysics and Oil Resource, Yangtze University, Wuhan, China

autor

Zhang Z.

• Key Laboratory of Exploration Technologies for Oil and Gas Resources, Yangtze University, Wuhan, China
• School of Geophysics and Oil Resource, Yangtze University, Wuhan, China

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)