谱分解技术在文昌A油田油气储层预测中的应用

详细信息

收稿日期: 2014-03-21

APPLICATION OF SPECTRAL DECOMPOSITION TECHNOLOGY TO THE OIL AND GAS RESERVOIR PREDICTION OF WENCHANG A OIL FIELD

Received Date: 21 March 2014

摘要: 文昌A油田主力油组ZH1-2L油组储层以临滨滩、坝沉积为主,砂岩与泥岩多呈薄互层,砂岩中泥质杂基含量较高,常规方法无法对储层进行有效识别。利用连续小波的时频分解技术,在该区较为准确的圈定了有利储层的发育范围,与已钻井有很好的吻合度,为下一步的勘探开发提供了有利的技术支持。
- 储层预测 /
- 波阻抗 /
- 小波变换 /
- 时频分析
Abstract: Shoreface and bar deposits dominate the ZH1_2L oil group of the Wenchang A field. Alternated thin layers of sand and mud are widely developed there with high clay content in the reservoir. Conventional method is not efficient in identification of the reservoir in this area. In our study, the continuous wavelet transform time-frequency spectral decomposition method was used to define the favorable reservoirs, and the results are coincident well with drilling data. Therefore, it is a reliable technical support for the oil development in this area.
- reservoir prediction /
- impedance /
- continuous wavelet transform /
- time-frequency spectral decomposition