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An integrated velocity model application in ST area, Dongying Depression, China

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The velocity is not uniformly distributed in ST area of Dongying Depression in China, which varies both horizontally and vertically. In order to obtain accurate time-depth results, it is necessary to find an appropriate velocity model for time-depth conversion according to the actual situation of the study area. First, the characteristics and main affecting factors of velocity variation in the study area were analyzed. Analysis results showed that the velocity is obviously multi-segment in the vertical direction and zoned on the plane, with a larger velocity in the northern part of Shengbei fault and a smaller velocity in the southern part. The main factors affecting the velocity distribution are the burial depth or compaction, sedimentary facies distribution and lithological composition. Then, the velocity model was established by using checkshot data of 30 wells after making synthetic records. We proposed an integrated velocity modeling method that considers the velocity distribution characteristics and matches the geological characteristics well. Above the target layer, the polynomial fitting method was used to calculate the depth of the bottom of Es3. Then, segmental V = v0/k functions were fit to calculate the thickness of each layer. Subsequently, the stripping method was used to calculate the bottom depth layer by layer. Using this method in the study area effectively reduced uncertainty, improved accuracy of time-depth conversion and accurately understood the lateral structure and stratigraphic pattern of the basin, which could facilitate a rapid search for structural traps.
Czasopismo
Rocznik
Strony
141--159
Opis fizyczny
Bibliogr. 18 poz.
Twórcy
autor
  • Key Laboratory of Underground Engineering, Fujian Province University, 350118 Fuzhou, People’s Republic of China
  • Fujian University of Technology, Fuzhou 350118, People’s Republic of China
autor
  • CNPC Beijing Richfit Information Technology Co., LTD, Beijing 100010, People’s Republic of China
autor
  • Key Laboratory of Underground Engineering, Fujian Province University, 350118 Fuzhou, People’s Republic of China
  • Fujian University of Technology, Fuzhou 350118, People’s Republic of China
autor
  • Beijing Hezhong Jiuding Energy Technology Research Co., LTD, Beijing 100023, People’s Republic of China
autor
  • D&I Department, Schlumberger China, Beijing 100016, People’s Republic of China
autor
  • D&I Department, Schlumberger China, Beijing 100016, People’s Republic of China
Bibliografia
  • 1. Alaminiokuma GI, Ugbor C (2010) Analytical velocity model for depth conversion in the subsurface facies of Agbada formation in the Niger Delta, Nigeria. Pac J Sci Technol 11(1):563-575
  • 2. Alexander O, Temitope AO (2019) Velocity modelling and depth conversion uncertainty analysis of onshore reservoirs in the Niger Delta basin. J Cameroon Acad Sci 14(3):19-25
  • 3. Chen L, Deng Y, Gai YH et al (2014) Exploration of time-depth conversion method in complicated fault block-take Weixinan sag for example. Prog Geophys 29(3):1121-1127
  • 4. Dix CH (1995) Seismic velocity from surface measurements. Geophysics 20:68-86
  • 5. Gao BF (2018) Boundary analysis and delineation of mineral resource estimate domains. Geol Explor 54(2):415-425
  • 6. Guo L, Deng Y, Zhao SL et al (2017) Research and discussion of timedepth conversion methods under special geological conditions. Prog Geophys 32(1):152-159
  • 7. Ma YQ, Du XB, Liu HM et al (2017) Structural transformation in Paleogene and its controlling effect in Dongying sag. Earth Sci 42(07):1195-1208
  • 8. Peng XH, Huang H, Wu X et al (2016) Well seismic application in the study of structure and stratigraphic correlation in Karamay formation reservoir in well 288 block of the ninth district. Xinjiang Oil Gas 12(1):39-44
  • 9. Qian SH, Liu JP (1995) Methods for velocity parameters extraction in plotting velocity-varied large-area structural maps. Geophys Prospect Pet 34(1):110-115
  • 10. Qiu YB, Jia GH, Liu XF et al (2020) Structural transformation in Paleogene and its controlling effect in Dongying sag. China Pet Explor 25(6):50-57
  • 11. Song MS (2021) Accumulation conditions and key technologies for exploration and development of Shengtuo oilfield in Bohai Bay Basin. Acta Petrolei Sinica 42(01):128-142
  • 12. Sun L, Yu XH, Li SL et al (2017) Sedimentary characteristics of transgressive fan delta of the 3rd member of Eocene Liushagang formation in Eastern Wushi sag, Beibuwan Basin. Geol China 44(3):485-498
  • 13. Xu LH, Xian B, Xue YY et al (2014) Study and application on seismic time-depth conversion with high-precision. J Jilin Univ 44(5):1712-1719
  • 14. Yang W, Howley E, Leahy G (2013) Quantifying uncertainty in seismic interpretation. In: SEG Hosuton Annual Meeting, vol 162, pp 1298-1302
  • 15. Zhang X, Zhang JL (2008) Depositional feature and mode of sandconglomerate bodies in the lower third member of Shahejie formation in Shengtuo area. Acta Petrolei Sinica 4:533-538
  • 16. Zhang LQ, Luo XR, Xiao H et al (2015) Types and distribution of diagenetic alterations in the nearshore subaqueous fan of the upper Es4 in Shengtuo area of Dongying depression. Nat Gas Geosci 26(01):13-20
  • 17. Zhang YQ, Xu Y, Yan JY et al (2019) Crustal thickness and its relations to mineralization in the southeastern part of South China: constraint from the teleseismic receiver functions. Geol China 46(4):723-736
  • 18. Zhao JQ, Han WM, Liu ZG et al (2021) Application of velocity feature analysis and large-scale variable velocity mapping to allow exploration maturity basin: a case study of the MSGBC Basin in West Africa. Geophys Prospect Pet 60(4):664-674
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ae3040e5-5421-4193-9c8c-775f383d1993
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