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Jason整合地球科学和工程数据建立高精度和高预测性的油藏模型,帮助提高油藏开发效率。因为分析是定量的,所以用户可以利用该模型预测油气采收率,并对管理方案进行评估。

Jason®融合地球物理、建模和储层地震反演等技术来解决复杂油气勘探和生产问题

  • 非常规页岩气
  • 薄储层
  • 复杂储层
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针对用户的具体问题,我们的咨询专家和客户紧密协作以提供适用于用户数据的解决方案。方案整合地质和地球物理方法,针对用户的地质情况给出最佳结果,帮助用户提高对储层展布、连通性和含流体性的整体认识。



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Seismic Inversion in Barnett Shale: Pinpointing sweet spots for drilling

Barnett ShalesIncluding seismic inversion information in the drilling campaign knowledge mix promises to be a gamechanger because it can pinpoint sweet spots in the unconventional play even with sparse well control.

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Stochastic Modeling in Shales: Spraberry-Wolfcamp Example

Spraberry-Wolfcamp ShalesTwo independently defined stochastic models generated from conventional logs and core analysis did an excellent job of estimating the mineral volumes and predicting TOC volume.

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An Upper Morrow Sands case study: Video Presentation

Barnett ShalesPresented by Jeff Zawila of EOG Resources at SEG 2010, this is a case study for detecting thin Upper Morrow Sands in the Mid-Continent from Geostatistical Simultaneous AVO Inversion.

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Timano-Pechora Case Study: Seismic inversion choices and benefits

Timano-PechoraThis compelling case study from the Timano-Pechora province shows the value of geostatistical partial stack inversion within a reservoir properties prediction methodology. General principles of deterministic and geostatistical inversions of seismic data are also covered.

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