Experimental study and soft computing modeling of shaly oil and gas reservoir cation exchange capacity based on novel machine learning approach
Wu XiaobinCollege of Petroleum Engineering and Environmental Engineering, Yan'an University, Shaanxi Yan'an 716000, ChinaZyad ShaabanDepartment of Computer Science, University College of Duba, University of Tabuk, Duba 71911, Saudi ArabiaR. RoopashreeAnupam YadavDepartment of Computer engineering and Application, GLA University Mathura-281406, IndiaSubhashree RayDepartment of Biochemistry, IMS and SUM Hospital, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha-751003, IndiaChandra Kant BhardwajCentre for Promotion of Research, Graphic Era Deemed to be University, Dehradun, Uttarakhand-248002, IndiaAashna SinhaSchool of Applied and Life Sciences, Division of Research and Innovation, Uttaranchal University, Dehradun, Uttarakhand, IndiaDilsora AbduvalievaDepartment of Mathematics and Information Technologies, Tashkent State Pedagogical University, Bunyodkor avenue, 27, Tashkent, 100070, UzbekistanPrakhar TomarCentre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, IndiaHeyder MhohamdiDepartment of computers Techniques engineering, College of technical engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, IraqUsama S. AltimariDepartment of Medical Laboratories Technology, AL-Nisour University College, Baghdad, IraqAseel SmeratFaculty of Educational Sciences, Al-Ahliyya Amman University, Amman 19328, JordanAhmad AbumalekFaculty of Engineering, Balkh University, Balkh, Afghanistan
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