Petroleum Exploration and Development (Jun 2012)

Key technologies for seismic reservoir characterization of high water-cut oilfields

  • Lideng GAN,
  • Xiaofeng DAI,
  • Xin ZHANG,
  • Linggao LI,
  • Wenhui DU,
  • Xiaohong LIU,
  • Yinbo GAO,
  • Minghui LU,
  • Shufang MA,
  • Zheyuan HUANG

Journal volume & issue
Vol. 39, no. 3
pp. 391 – 404

Abstract

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Reservoir characterization in mature oil fields with high water cut faces the challenges of small geological bodies, large well density, and data acquisition spreading over long periods. To solve these problems, systematic research on seismic reservoir characterization was carried out, and a technical solution was proposed based on well-controlled seismic data processing, well-controlled seismic data interpretation and well-constrained seismic inversion. This technical route includes five suites of key technologies. (1) Rock physics analysis, including seismic reservoir-prediction-oriented well log processing and interpretation, rock physics modeling and its application, selection of parameters sensitive to lithology, physical property and hydrocarbon. (2) Well-controlled seismic data processing, including well-controlled high-resolution data processing, amplitude-preserved data processing and quality control. (3) Well-controlled fine structure interpretation, including well-controlled minor fault interpretation, well-controlled seismic horizon tracing and well-controlled structure mapping. (4) Well-constrained seismic inversion, including deterministic inversion and stochastic inversion. (5) Seismic-constrained reservoir modeling and numerical simulation. Despite the high well density in a high water cut oil field, reservoirs between wells cannot be clearly defined by known well data. The effect of seismic reservoir characterization can be improved significantly only by bringing dense well data into full play and through multi-disciplinary approaches. Key words: well-seismic conformity, rock physics, well-control processing, well-control interpretation, seismic stochastic inversion, seismic and reservoir engineering integration