Reservoir characterization plays a significant role in the exploration, development, and production of hydrocarbon reservoirs. The use of integrated approach in characterization improves on the accuracy, certainty, and robust interpretation of reflectivity data. The study aimed to integrate reflectivity and spectral attributes to adequately characterize hydrocarbon reservoirs in MUN onshore Niger delta field. Well log and rock physics analyses identified and delineated reservoirs, discriminated lithology, characterized fluid, and established relations between elastic and reservoir properties for field-wide interpretation of the reflectivity data. The wells were tied to the reflectivity data, and H4 seismic horizon was mapped. Subsequently, sweetness, reflectivity and spectral attributes were extracted along H4 horizon after inversion and spectral decomposition of the reflectivity data and independently interpreted. Channel-like structure with high-amplitudes, low-to-moderate acoustic impedance (I_p), lambda–rho (λρ) and mu–rho (µρ) attribute values, and high-amplitude low-frequency spectral attributes (15–35 Hz), respectively, characteristics of hydrocarbon saturated channel sands were delineated. The channel reservoir sand is thick, porous with low volume of shale and low to moderate water saturation. Analysis of data further shows that reflectivity attributes provided a better description of fluid characteristics than the sweetness and spectral attributes, but are less sensitive to structure and exaggerated the shape and limits of the channel sands. However, the spectral attributes seem to be more robust than the reflectivity attributes in providing subtle structural and stratigraphic details of the reservoir as well as delineating by-passed hydrocarbons in the field.

中文翻译：

---

基于反射率和光谱属性的储层表征：来自尼日利亚尼日尔三角洲陆上“ MUN”的案例研究

储层表征在油气藏的勘探，开发和生产中起着重要作用。在表征中使用集成方法可提高反射率数据的准确性，确定性和鲁棒性。该研究旨在整合反射率和光谱属性，以充分表征尼日尔三角洲陆上MUN油气藏。测井和岩石物理分析可识别和划定储层，区分岩性，表征流体，并在弹性和储层特性之间建立关系，以在整个范围内解释反射率数据。这些井与反射率数据绑定在一起，并绘制了H4地震层。随后，甜味 在对反射率数据进行反演和光谱分解后，沿着H4层提取反射率和光谱属性，并进行独立解释。高振幅，中低声阻抗的类通道结构（I _p），λ–rho（λρ）和mu–rho（µρ）属性值，以及高振幅低频频谱属性（15-35 Hz），分别描述了饱和烃通道砂的特征。河道储层砂很厚，多孔，页岩体积小，含水饱和度低至中等。数据分析还表明，反射率属性比甜度和光谱属性更好地描述了流体特性，但对结构的敏感性较低，并夸大了通道砂的形状和界限。但是，在提供储层的细微结构和地层细节以及在野外圈定绕过的碳氢化合物方面，光谱属性似乎比反射率属性更可靠。