Shallow-water-flow prediction from multicomponent seismic data

被引:0
|
作者
Huffman, AR
Castagna, JP
机构
来源
JOURNAL OF PETROLEUM TECHNOLOGY | 2000年 / 52卷 / 07期
关键词
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Shallow water flows (SWF's) are a primary hazard to deepwater drilling operations in the Gulf of Mexico (GOM). Occurrences can result in web failures and significant discharges of subsurface fluids into the ocean. Many operators choose to drill through these hazards with a modest identification investment before drilling, then mitigate the hazard at significant expense if one is encountered. The occurrence of SF has been identified as one of the top Eve challenges faced in deepwater exploration and production. Initial results from the study detailed in the full-length paper suggest that variations in velocity and impedance resulting from SWF sand bodies are detectable in seismic data.
引用
收藏
页码:34 / +
页数:2
相关论文
共 50 条
  • [41] THE PREDICTION OF WATER ACTIVITIES IN MULTICOMPONENT SYSTEMS
    LILLEY, TH
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1989, 197 : 34 - AGFD
  • [42] The Number of Required Observations in Data Assimilation for a Shallow-Water Flow
    Whartenby, William G.
    Quinn, John C.
    Abarbanel, Henry D. I.
    MONTHLY WEATHER REVIEW, 2013, 141 (07) : 2502 - 2518
  • [43] Shallow water flow on the sphere
    Swarztrauber, PN
    MONTHLY WEATHER REVIEW, 2004, 132 (12) : 3010 - 3018
  • [44] Data Assimilation of Water Elevation in Shallow Water Flow Based on the Extended Kalman Filter FEM Using Measurement Data from Image Analysis
    Kurahashi, Takahiko
    Ikarashi, Kohei
    Kenchi, Toshiaki
    Eto, Toshihiko
    INTERNATIONAL JOURNAL OF COMPUTATIONAL FLUID DYNAMICS, 2022, 36 (02) : 103 - 111
  • [45] A new methodology using seismic data to differentiate shallow-water carbonate deposits from similar, noncarbonate structures
    Badali, M.
    Hsieh, J.
    D'Annibale, S.
    AAPG BULLETIN, 2022, 106 (02) : 243 - 265
  • [46] ANN-based multicomponent seismic data-driven prediction of gas-bearing distribution
    Yang, Jiuqiang
    Lin, Niantian
    Zhang, Kai
    Zhang, Chong
    Ding, Renwei
    Tian, Gaopeng
    Jin, Zhiwei
    GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES, 2022, 8 (02)
  • [47] PREDICTION OF BEARING CAPACITY OF SHALLOW SITES BY SEISMIC METHOD
    Ramli, Ahmad Bukhari
    Kasa, Anuar
    Abd Rahman, Norinah
    Nayan, Khairul Anuar Mohd
    JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2020, 15 : 28 - 36
  • [48] Statics corrections for shallow seismic refraction data
    Palmer, Derecke
    Nikrouz, Ramin
    Spyrou, Andrew
    EXPLORATION GEOPHYSICS, 2005, 36 (01) : 7 - 17
  • [49] ANN-based multicomponent seismic data-driven prediction of gas-bearing distribution
    Jiuqiang Yang
    Niantian Lin
    Kai Zhang
    Chong Zhang
    Renwei Ding
    Gaopeng Tian
    Zhiwei Jin
    Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2022, 8
  • [50] Statics applied to shallow seismic reflection data
    Pugin, A
    Pullan, SE
    PROCEEDINGS OF THE SYMPOSIUM ON THE APPLICATION OF GEOPHYSICS TO ENVIRONMENTAL AND ENGINEERING PROBLEMS, 1998, : 675 - 683