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Rock property modelling and sensitivity analysis for hydrocarbon exploration in OSSY field, Niger Delta Basin

机译:尼日尔三角洲盆地奥斯田岩土勘探岩石物业建模与敏感性分析

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The application of quantitative interpretation techniques for hydrocarbon prospect evaluation from seismic has become so vital. The effective employment of these techniques is dependent on several factors: the quality of the seismic and well data, sparseness of data, the physics of rock, lithological and structural complexity of the field. This study adopts reflection pattern, amplitude versus offset (AVO), Biot–Gassmann fluid substitution and cross-plot models to understand the physics of the reservoir rocks in the field by examining the sensitivity of the basic rock properties; P-wave velocity, S-wave velocity and density, to variation in lithology and fluid types in the pore spaces of reservoirs. This is to ascertain the applicability of quantitative seismic interpretation techniques to explore hydrocarbon prospect in the studied field. The results of reflection pattern and AVO models revealed that the depth of interest is dominated by Class IV AVO sands with a high negative zero offset reflectivity that reduces with offset. The AVO intercept versus gradient plot indicated that both brine and hydrocarbon bearing sands can be discriminated on seismic. Fluid substitution modelling results revealed that the rock properties will favourably respond to variation in oil saturation, but as little as 5% gas presence will result in huge change in the rock properties, which will remain constant upon further increments of gas saturation, thereby making it difficult to differentiate between economical and sub-economical saturations of gas on seismic data. Rock physics cross-plot models revealed separate cluster points typical of shale presence, brine sands and hydrocarbon bearing sands. Thus, the response of the rock properties to the modelling processes adopted favours the application of quantitative interpretation techniques to evaluate hydrocarbon in the field.
机译:定量解释技术在地震中对烃前景评估的应用变得如此至关重要。这些技术的有效就业取决于若干因素:地震和井数据的质量,数据的稀疏性,岩石物理学,岩石的岩性和结构复杂性。本研究采用反射图案,振幅与偏移(AVO),Biot-Gassmann流体取代和交叉绘图模型通过检查基本岩石特性的敏感性来了解该领域的储层岩石的物理; P波速度,S波速度和密度,储层孔隙空间中岩性和流体类型的变化。这是为了确定定量地震解释技术的适用性探索研究领域的碳氢化合物前景。反射模式和AVO模型的结果表明,兴趣深度由IV类AVO砂级以高负零偏移反射率与偏移减少。 AVO截距与梯度图表示,盐水和烃轴承砂可以在地震上区分。流体替代模拟结果显示,岩石性质将有利地响应油饱和度的变化,但大约5%的气体存在会导致岩石性能的巨大变化,这将在瓦斯饱和的进一步增量时保持恒定,从而使其保持恒定难以区分地震数据对天然气的经济和潜水饱和之间的区分。岩石物理交叉绘图模型显示出典型的页岩存在,盐水砂和碳氢化合物砂岩的单独聚类点。因此,采用岩石性能对建模过程的响应采用了定量解释技术评估该领域烃的应用。

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