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<p>To resolve strong ambiguity in sequence stratigraphic division within tight sandstone reservoirs of the Yanchang Formation (southwestern Ordos Basin), this study applies Integrated Prediction Error Filter Analysis (INPEFA) to the Gamma Ray (GR) log of the Chang 6 member. By extracting sedimentary cycle signals via Maximum Entropy Spectral Analysis (MESA) and incorporating lithological constraints with multi-well correlation, we identified two medium-term (MSC), seven short-term (SSC), and 24–32 very short-term (VSC) base-level cycles. A chronostratigraphic cross-section (Well Ning 170 → 119 → 44 → 23 and Well Ning 131 → 90 → 40) demonstrates that the seven SSC boundaries are consistent across the SW–NE oriented study area. The results show that INPEFA effectively characterizes stratigraphic cyclicity, making sequence boundaries distinct and enabling a quantitative approach to cycle division. The comprehensive factors including tectonic control, sedimentary control, sediment supply control and lacustrine fluctuation control play essential role in sequence boundary types and sequence architecture characteristics. This technique provides a robust method for high-precision sequence stratigraphic analysis. Additionally, this technique offers important insights for petroleum exploration and exploitation within similar tectonic and sedimentary settings.</p>

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The application of INPEFA technology to establish high-resolution sequence stratigraphy in sixth member of Yanchang Formation, southwestern Ordos Basin

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • Chuan Chen,
  • Shi-qiang Xia,
  • Qian-qian Fan,
  • Xiao-liang Liu

摘要

To resolve strong ambiguity in sequence stratigraphic division within tight sandstone reservoirs of the Yanchang Formation (southwestern Ordos Basin), this study applies Integrated Prediction Error Filter Analysis (INPEFA) to the Gamma Ray (GR) log of the Chang 6 member. By extracting sedimentary cycle signals via Maximum Entropy Spectral Analysis (MESA) and incorporating lithological constraints with multi-well correlation, we identified two medium-term (MSC), seven short-term (SSC), and 24–32 very short-term (VSC) base-level cycles. A chronostratigraphic cross-section (Well Ning 170 → 119 → 44 → 23 and Well Ning 131 → 90 → 40) demonstrates that the seven SSC boundaries are consistent across the SW–NE oriented study area. The results show that INPEFA effectively characterizes stratigraphic cyclicity, making sequence boundaries distinct and enabling a quantitative approach to cycle division. The comprehensive factors including tectonic control, sedimentary control, sediment supply control and lacustrine fluctuation control play essential role in sequence boundary types and sequence architecture characteristics. This technique provides a robust method for high-precision sequence stratigraphic analysis. Additionally, this technique offers important insights for petroleum exploration and exploitation within similar tectonic and sedimentary settings.