چکیده مقاله
Hydrocarbon reservoirs are one of the most important sources of energy in the world Oil reservoirs have different layers with different petrophysical properties That these features are geological over time and based on depositional conditions that vary over time Determining the productive layer of the reservoirs is important The layers that perforate are very important in the production and rate of production There are minimum requirements for petrophysical parameters to determine suitable reservoir layers for production Permeability and porosity are important parameters in determining the layers using MATLAB software, and artificial intelligence, we designed a model that predicts sonic log By analyzing and testing this designed model, it showed that it has a high accuracy Which can be used to predict this important log
کلیدواژهها
نویسندگان
Arman Guilaninezhad
Department of Civil Engineering, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran.
Seyedeh Shadi Alborzi
Depatrtmet of Chemical Engineering, Shiraz Technical University, Shiraz, Iran
Adeleh Saedi
Department of Civil Engineering, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran.
Mehdi Nezhadnaderi
Department of Civil Engineering, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran.
شیوه ارجاع
Alborzi, Seyedeh Shadi,1401,Predicting Data Required in the Oil and Gas Industry (Porosity and Permeability) Using Artificial Intelligence; MATLAB software,Eleventh International Conference on Mechanics, Manufacturing, Industries and Civil Engineering
ارائهشده در
مجموعه مقالات یازدهمین کنفرانس بین المللی مکانیک، ساخت، صنایع و مهندسی عمران25 اردیبهشت 1401