油藏规模序列法在玛湖凹陷低勘探程度区油气资源评价中的应用

针对统计学方法在低勘探程度区油气资源评价中误差大的问题,从方法解析入手,通过对参数取值和评价过程反复优化,应用油藏规模序列法提高低勘探程度区的资源评价质量。研究结果表明:油藏规模序列法预测过程中涉及多个参数,其预测结果受序列中油气藏规模的变化率k_序列、可能的最大油气藏规模Q_max截断和可能的最小油气藏规模Q_min截断影响,具有多解性;该方法简便易行,采用合理的评价思路和取值就能有效提高资源评价结果的可信度。该研究为类似实践积累了经验,也为研究区今后勘探部署及规划制订提供了依据。

Application of Reservoir Scale Sequence Method in Hydrocarbon Resources Assessment in the Low-Exploration Area of Mahu Sag

To address the large errors of statistical method in the assessment of hydrocarbon resources in low-exploration area, starting from the method analysis, the resources assessment in the low-exploration area was improved with the reservoir scale sequence through repeated optimization of the parameter values and the assessment process. The results showed that there were multiple parameters involved in the prediction with reservoir scale sequence method; the prediction results were affected by the change rate k_sequence of reservoir scale, the truncation of possible maximum reservoir scale Q_max-cut and the truncation of possible minimum reservoir scale Q_min-cut, with multiplicity of solutions; the method was simple and easy to operate, and the reliability of resource assessment results could be effectively improved with reasonable assessment ideas and values. This study accumulates experience for similar practice but also provides a basis for future exploration, deployment and planning in the study area.