Xinjiang Petroleum Geology ›› 2020, Vol. 41 ›› Issue (4): 483-490.doi: 10.7657/XJPG20200415

• APPLICATION OF TECHNOLOGY • Previous Articles     Next Articles

Q Estimation From Zero-Offset VSP Data Under the Constraint of Q Forward Modeling

MA Xuejun1(), MOU Qi2(), LI Haiying1, YANG Zichuan1, ZHANG Xueying2   

  1. 1. Research Institute of Exploration and Development, Northwest Oilfield Company, PetroChina, Urumqi, Xinjiang 830011, China;
    2. School of Energy Resources, China University of Geosciences, Beijing 100083, China
  • Received:2020-02-21 Revised:2020-05-18 Online:2020-08-01 Published:2020-08-05
  • Contact: MOU Qi E-mail:maxuejun.xbsj@sinopec.com;mqcugb@163.com

Abstract:

As the deepening of target zones for oil and gas exploration, spherical diffusion, transmission loss and environmental noise may lead to the change of VSP first arrival wavelet and then the Q value obtained from conventional estimation method may not be accurate. Therefore, based on the zero-offset VSP data of Well TP327 in Tuofutai area of Tarim basin and considering the effects of transmission loss and spherical diffusion, this paper proposes a method to estimate Q-value by using zero-offset VSP data under the constraint of Q forward modelling. By establishing a layered geological model based on P- and S-wave velocities and densities in the work area, the method uses ray tracing method and Q forward modeling results from an earth absorption model to modify the initial Q values estimated from spectral ratio method and empirical formula method, allowing Q forward modeling results matching with the actual seismic wave attenuation record on frequency spectrum. Then a more accurate Q model has been obtained. The Q estimation result in Well TP327 show that in shallow strata the result is close to that obtained from Liqingzhong’s empirical formula, but in middle and deep strata, the results obtained from the two methods are greatly different. The spectrum of the wavelet constrained by Q forward modeling result well fits with that of the actual wavelet of VSP data, proving that the Q value obtained from the method constrained by Q forward modeling is more reliable. The Q model obtained from the method can significantly improve the resolution of seismic data through performing inverse Q filtering for the seismic data in the study area, which helps to improve the identification accuracy for fractures and vugs in the carbonate strata.

Key words: zero offset, VSP data, first arrival wavelet, Q forward modeling, spectrum ratio method, earth absorption model, amplitude attenuation, inverse Q filter, resolution

CLC Number: