Determining the drilling mud window by integration of geostatistics, intelligent, and conditional programming models in an oilfield of SW Iran

Abstract Accurate knowledge of pore and fracture pressures is essential for drilling wells safely with the desired mud weight (MW). Overpressure occurs when pressure higher than normal hydrostatic pressure. There a challenge regarding studies domain in an oilfield SW Iran, where lack geo-mechanical data limits exact window calculation. Also, reservoir generally consists carbonate rocks contains no shale interbeds, so mechanical stratigraphy based on Gamma ray could not be applied. This study to provide safe considering MW prevent flow or loss vicinity new studied field. In this research, formation models are determined by combining geostatistical, intelligent, conditional programming compared real data. The was also used correct small out-of-range highest correlation between final effective velocity cube observed lower Fahliyan Formation 0.86 Ilam 0.71.The modeled difference ranged 2.5 30 PCF. maximum 150 PCF upper Formation. Heavy more 130 suggested Khalij member continues end column. Best comparing drilled MW, especially achieved 100 80–100 Finally, 3D presented recommended further drillings.