...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>First Break >Seismic oil-water contact detection, supported with pressure data, for hydrocarbon in-place estimation
【24h】

Seismic oil-water contact detection, supported with pressure data, for hydrocarbon in-place estimation

机译：地震油接触检测，用压力数据负载，用于碳氢化合物就地估计

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

With good quality seismic data, fluid contacts can be detected in an area of favourable rock physics. The oil-water contact (OWC) inferred from seismic data is validated using other independent data. Where there is an agreement between a seismically-derived OWC and other supporting data,this approach can be used as a reliable technique in reservoir delineation. A field example is presented from deepwater offshore Nigeria, typified by stacked-turbidite sands of Upper to Middle Miocene age. The volumetric estimate of in place volumes for the field was initially based on the lowest known oil (LKO) penetrated by wells as the deepest oil limit. Consequently, the actual field performance and history matching of the dynamic model suggested the oil-in-place was underestimated. The seismically-derived OWC, when supported by pressure and production data,justified an increased hydrocarbon in place estimate. In a block calibrated by wells, seismically-derived OWCs agree with results from the well pressure-depth plot and within the range of depth uncertainty. This provided confidence in using seismic OWC estimates to define oil downdip limits in blocks where the contact has not been penetrated. Thus, in place additions were achieved by extending the lowest oil limit(LKO) downdip to the seismic OWC.
机译：具有良好的质量地震数据，可以在有利的岩石物理区域中检测流体接触。使用其他独立数据验证从地震数据推断的油水接触（OWC）。在地震衍生的OWC和其他支持数据之间存在一致的情况下，这种方法可以用作储层描绘中的可靠技术。领域示例由深水海上尼日利亚提出，典型的堆积 - 浊度砂砂砂砂砂，含有较高至中等内科。对于该领域的适当体积的体积估计最初基于井中的最低已知油（LKO）作为最深的油限制。因此，动态模型的实际场效和历史匹配建议被低估了油。地震衍生的OWC，当受压和生产数据的支持时，证明了增加的碳氢化合物。在由井校准的块中，地震衍生的OWCs与来自孔压力深度图的结果同意，并且在深度不确定性范围内。这提供了利用地震OWC估计来定义封锁中未渗透的块中的油下级限制的信心。因此，通过将最低的油限制（LKO）下拔到地震OWC来实现，实现添加。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号