TY - JOUR T1 - New Approach Studies Operating Hydraulic Fracturing Parameters Effect on Fracture Conductivity and Proppant Mass AU - Truong, N.H. JO - Research Journal of Applied Sciences VL - 13 IS - 12 SP - 729 EP - 735 PY - 2018 DA - 2001/08/19 SN - 1815-932x DO - rjasci.2018.729.735 UR - https://makhillpublications.co/view-article.php?doi=rjasci.2018.729.735 KW - Operating hydraulic fracturing parameters KW -the fracture model KW -Box-Behnken Design (BBD) KW -fractureconductivity KW -proppant mass AB - In the past decades, hydraulic fracturing stimulation has widely been used to enhance oil and gas production for various reservoir properties such as low and high permeability, tight oil and gas reservoir and very low permeability reservoir, formation damage. Due to well in the Oligocene E tight oil sandstone reservoir with complicated and complex geological structure, the big challenge in the reservoir that faces low permeability and the low porosity with around 0.2-1 MD and 1-13%, respectively, leading to the fracture conductivity among the fractures are very poor. To deal with this problem, the best choice to stimulate that reservoir is hydraulic fracturing technique that allows creating new fractures and increase in conductivity. To select precisely the right type of proppant such as proppant size, proppant density for designing fracturing fluid and total fluid leak-off, the understanding reservoir properties such as temperature of 266°F and fracture closure pressure of 9137 psi, lithological compositions are necessary to success the fracturing project. In addition, the mnifrac test applying in the Oligocene with the depth range from 3501-3525 mMD, the total leak-off coefficient, fracture closure pressure and fracture model were also determined. In this research, the study has been introduced the various methods of determining minimum horizontal in the normal faulting stress regime and the effect of four operating hydraulic fracturing parameters and fracture height growth on fracture conductivity and proppant mass requirement by using Box-Behnken design and response surface methodology to design those for five parameters. ER -