Impact of Depositional Facies and Petrophysical Parameters on the Estimated Hydrocarbon-in-place Volume of a Producing Field in the Niger Delta Basin, Nigeria

Obidike, Christy Chinonye, Chiazor, Fortune Ijeoma, Ugwueze, Charles Ugwu
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Abstract

The need to identify the major parameter with an overwhelming impact on estimated hydrocarbon volume has been a challenge for stakeholders in the oil and gas industry. To address this challenge, an investigation of the impact of depositional facies and petrophysical parameters on estimated oil volume was carried out on an oil field located within the Niger Delta using 3D geologic models. Different modeling techniques were employed in the study; each technique produced an estimated volume of hydrocarbon. Uncertainty analysis was carried out based on Facies and their petrophysical parameters by varying each parameter at a time while repeating the volumetric estimation to check their impact on the estimated volume. Thereafter, sensitivity was run on the parameters to determine the parameter with the most impact Three lithofacies; clean sand, shaly sand, and shale, and three sands bodies; D_1000, D_2000, and D_3000 were identified using the available gamma ray log. Results from the Petrophysical evaluation showed that the average porosity values of the reservoirs ranged between 0.20% and 0.225%, while average water saturation for the three reservoirs ranged from 21% to 40%, respectively. The major fault that cuts through the reservoirs may have caused the disappearance of reservoir D_3000 in wells X-002 and X-014. Reservoir D_3000 has the largest accumulation of about 952 MMSTB, while reservoir D_1000 gave the least accumulation of about 727MMSTB. Interestingly, the three reservoirs in this study presented porosity as the parameter with the biggest influence on the estimated hydrocarbon-in-place volume.
尼日利亚尼日尔三角洲盆地某生产油田沉积相和岩石物性参数对储量估算的影响
对于油气行业的利益相关者来说,确定对估计的油气储量有重大影响的主要参数一直是一个挑战。为了应对这一挑战,研究人员在尼日尔三角洲的一个油田使用3D地质模型,研究了沉积相和岩石物理参数对估计产油量的影响。研究中采用了不同的建模技术;每种技术都产生了估计的碳氢化合物体积。根据相及其岩石物理参数进行不确定性分析,每次改变每个参数,同时重复进行体积估计,以检查它们对估计体积的影响。然后对各参数进行敏感性分析,确定影响最大的参数;洁净砂、泥质砂、页岩砂和三种砂体;D_1000、D_2000和D_3000是使用可用的伽马射线测井确定的。岩石物理评价结果表明,3个储层的平均孔隙度为0.20% ~ 0.225%,平均含水饱和度为21% ~ 40%。X-002井和X-014井D_3000储层的消失可能是由于大断层的切入造成的。D_3000储层累积量最大,约为952 MMSTB, D_1000储层累积量最少,约为727MMSTB。有趣的是,在本研究中,三个储层的孔隙度是对估计的含油体积影响最大的参数。
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