The effect of volume of shale different calculation methods on reservoir petrophysical parameters was analytically modelled and evaluated using ‘PETRARCAL.’ It is essential to characterize the hydrocarbon reservoir as precisely as possible in other to calculate petrophysical properties of interest in the region and to decide the most effective way of recovering as much of the hydrocarbon as economically possible and to rank the reservoir involved in the integration of vast amount of data needed in reservoir characterization. A petrophysical parameter calculator ‘PETRARCAL’ was programmed. The graphic user interface was designed using MATLAB to calculate the reservoir petrophysical properties such as gamma-ray- Index, the volume of shale using different calculation methods, and other volumes of shale dependent petrophysical parameters such as permeability, porosity, hydrocarbon saturation, water saturation, and hydrocarbon pore volume were mathematically coded in MATLAB. The plot of all the computed volume of shale versus gamma-ray index for different mathematical relationships Showed a similarity between tertiary, consolidated, and Steiber volume of Shale computational methods, trending exponential to almost linear curve. However, the Clavier method was completely different, with a decrease hyperbola curve. From the wireline log, with GR_log of 52, GR_Min of 19, and GRmax of 81, the computed IGR is 0.53228. The resulting shale volume is 0.360, 0.242, and 2.319 0.275 for Dresser consolidated, Dresser tertiary, Clavier, and Stieber computational methods. Density corrected porosity (ϕ_DC) values from the wireline were determined to be 69.8%, 73.7%, 4.5%, and 75.6% for dresser consolidated, dresser tertiary Clavier, and Steiber methods, respectively. Permeability was computed to be 10,778, 16,858, 0.0021, and 14,912 for consolidated, tertiary,Clavier, and Stieber methods, respectively. Arbitrary use of just any of the volume of shale calculation methods will be an abuse of its application without understanding the environment of study. PETPARCAL can be used as a petrophysical parameter calculator for quick reservoir evaluation for petrophysicists and geoscientists. The efficacy of MATLAB application in geoscience modeling is excellent as it has been applied in this study.

页岩体积的不同计算方法对储层岩石物性参数的影响进行了建模，并使用“ PETRARCAL”进行了评估。至关重要的是，要尽可能精确地表征油气藏，以计算该地区感兴趣的岩石物性，并决定在经济上尽可能多地开采油气的最有效方法，并对参与整合的油气藏进行分级。储层表征需要大量数据。编写了一个岩石物理参数计算器“ PETRARCAL”。图形用户界面是使用MATLAB设计的，用于使用不同的计算方法来计算储层岩石物性，例如伽马射线指数，页岩体积，页岩相关的岩石物理参数（例如渗透率，孔隙率，烃饱和度，水饱和度和烃孔隙体积）的其他体积均在MATLAB中进行了数学编码。不同数学关系下页岩的所有计算体积与伽马射线指数的关系图显示，页岩计算方法的三次体积，固结体积和Steiber体积之间具有相似性，呈指数趋势，几乎呈线性曲线。但是，Clavier方法完全不同，双曲线曲线有所减少。从有线记录中，使用GR 页岩计算方法的固结和Steiber体积，趋势几乎呈线性趋势。但是，Clavier方法完全不同，双曲线曲线有所减少。从有线记录中，使用GR 页岩计算方法的固结和Steiber体积，趋势几乎呈线性趋势。但是，Clavier方法完全不同，双曲线曲线有所减少。从有线记录中，使用GR_log为52，GR _Min为19，GRmax为81，则计算出的IGR为0.53228。对于Dresser固结，Dresser三次，Clavier和Stieber计算方法，页岩体积分别为0.360、0.242和2.319 0.275。密度校正孔隙率（ϕ _DC）对于梳妆台合并，梳妆台三级Clavier和Steiber方法，来自有线的值分别确定为69.8％，73.7％，4.5％和75.6％。对于合并，三次，Clavier和Stieber方法，渗透率分别计算为10,778、16,858、0.0021和14,912。在不了解研究环境的情况下，任意使用任何数量的页岩计算方法都会滥用其应用。PETPARCAL可以用作岩石物理参数计算器，以便对岩石物理师和地球科学家进行快速储层评估。由于MATLAB已在本研究中应用，因此在地球科学建模中的应用效果非常好。