ارائه استراتژی شناسایی و مدلسازی توامان شکستگی ها به کمک نمودار fmi و داده های لرزه ای در فرایند زون بندی مخزن در یکی از میادین جنوب ایران

ﺗﻌﯿﯿﻦ زونﻫﺎی ﺷﮑﺴﺘﮕﯽ در ارزﯾﺎﺑﯽ ذﺧﺎﯾﺮ ﻫﯿﺪروﮐﺮﺑﻮری ﺑﺴﯿﺎر ﻣﻬﻢ اﺳﺖ. ﺷﮑﺴﺘﮕﯽ ﯾﮑﯽ از ﻣﻬﻢﺗﺮﯾﻦ ﭘﺪﯾﺪه ﻫﺎی زﻣﯿﻦﺷﻨﺎﺳﯽ ﻣﺨﺼﻮﺻﺎً در ﻣﺨﺎزن ﮐﺮﺑﻨﺎﺗﻪ اﺳﺖ ﮐﻪ ﺗﻮﻟﯿﺪ را ﺗﺤﺖ ﺗﺄﺛﯿﺮ ﻗﺮار ﻣﯽدﻫﺪ. اﺑﺰارﻫﺎی ﺗﺼﻮﯾﺮﮔﺮ از ﻗﺒﯿﻞ formation micro imager) fmi) ﺑﺎ ﻗﺪرت ﺗﻔﮑﯿﮏ ﻣﻨﺎﺳﺐ در آﺷﮑﺎرﺳﺎزی ﺷﮑﺴﺘﮕﯽﻫﺎ، ﻣﯽﺗﻮاﻧﻨﺪ در ﻓﻬﻢ ﺑﻬﺘﺮ ﺷﮑﺴﺘﮕﯽﻫﺎی ﻣﺨﺰن ﻣﺆﺛﺮ واﻗﻊ ﺷﻮﻧﺪ. ﯾﮑﯽ از ﮐﺎرﺑﺮدﻫﺎی اﺻﻠﯽ ﻻگfmi آﺷﮑﺎرﺳﺎزی ﺷﮑﺴﺘﮕﯽ -ﻫﺎی ﻃﺒﯿﻌﯽ ﺑﺎز و ﺑﺴﺘﻪ اﺳﺖ. وﺟﻮد ﺷﮑﺴﺘﮕﯽﻫﺎی ﺑﺎز در ﯾﮏ ﻣﺨﺰن ﻣﯽﺗﻮاﻧﺪ ﺑﺎ اﯾﺠﺎد ﯾﮏ ﻣﺤﯿﻂ ﺑﺎ ﺗﺮاواﯾﯽ ﺑﺎﻻ ﺑﻪﻋﻨﻮان ﯾﮏ ﻣﺤﯿﻂ ﻫﺎدی ﺟﺮﯾﺎن ﺳﯿﺎل ﻋﻤﻞ ﻧﻤﺎﯾﺪ و ﺑﺎﻟﻌﮑﺲ وﺟﻮد ﺷﮑﺴﺘﮕﯽﻫﺎی ﺑﺴﺘﻪ ﻣﯽﺗﻮاﻧﺪ ﻣﺎﻧﻊ ﺣﺮﮐﺖ ﺳﯿﺎل ﮔﺮدد . در اﯾﻦ ﺗﺤﻘﯿﻖ ﺑﺎ اﺳﺘﻔﺎده از ﻧﻤﻮدارﻫﺎی ﺗﺼﻮﯾﺮیfmi ، ﺷﮑﺴﺘﮕﯽﻫﺎی ﻣﻮﺟﻮد در ﺳﺎزﻧﺪ ﺳﻮرﻣﻪ در دو ﭼﺎه، ﺷﻨﺎﺳﺎﯾﯽ و ﻣﻮرد ﺑﺮرﺳﯽ ﻗﺮار ﮔﺮﻓﺖ. ﺳﭙﺲ ﺑﺎ اﺳﺘﻔﺎده از دادهﻫﺎی ﻣﺮﺑﻮط ﺑﻪ ﺷﮑﺴﺘﮕﯽﻫﺎ، ﻻگ ﺗﺠﻤﻌﯽ و ﻻگ ﺷﺪت ﺷﮑﺴﺘﮕﯽ ﺗﻮﻟﯿﺪ ﺷﺪ. ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ ﻣﯿﺰان ﺷﺪت ﺷﮑﺴﺘﮕﯽﻫﺎ در ﯾﮏ ﻓﺎﺻﻠﻪ از ﻋﻤﻖ و ﺗﻐﯿﯿﺮات ﺷﯿﺐ ﻧﻤﻮدار ﺗﺠﻤﻌﯽ زونﺑﻨﺪی اﻧﺠﺎم ﺷﺪ و ﺑﺎ ﺑﺰرگﻧﻤﺎﯾﯽ ﻻگ ﺷﺪت ﺷﮑﺴﺘﮕﯽ در ﭼﺎه ﻣﻮردﻧﻈﺮ و ﺑﺎ ﺑﺮرﺳﯽ آنﻫﺎ ﭼﻬﺎر زون ﻣﺨﺘﻠﻒ ﺷﮑﺴﺘﮕﯽ، ﺷﻨﺎﺳﺎﯾﯽ و ﺗﻌﯿﯿﻦ ﺷﺪ . در اﯾﻦ ﺑﯿﻦ زون ﺷﮑﺴﺘﮕﯽ2 دارای ﺑﯿﺸﺘﺮﯾﻦ ﺷﺪت ﺷﮑﺴﺘﮕﯽ اﺳﺖ ﮐﻪ ﻣﯽﺗﻮاﻧﺪ ﺑﻪﻋﻨﻮان زون ﻫﺪف ﺑﺮای ﺗﻮﻟﯿﺪ و ﺑﻬﺮهﺑﺮداری ﻣﻮرد ﻣﻄﺎﻟﻌﻪ ﺑﯿﺸﺘﺮی ﻗﺮا ر ﮔﯿﺮد.

Introducing a strategy in recognition and simultaneous modelling of fractures with FMI logs and seismic data through reservoir zonation in a field from south of Iran

Fracture identification is an important step in reservoir modelling and production management. Fractures are among the most important parameters that influence fractured carbonate reservoirs. interpretation of high resolution data such as fullbore formation microimage (FMI) log provide valuable information about distribution and properties of fracturs. The FMI log will also separate closed and open fractures. Obviously open fracture provides ability of fluid movement permeability in the reservoir and thus define production ability of the reservoir. However, availability of FMI logs through the whole reservoir is some time a problem while its effective radius is small, too. Thus, integrating fracture modelling with seismic data and FMI log will provide a complete fracture model of the whole reservoir. In this study, we have introduced an integrated strategy for fracture modeling using seismic and FMI data. The strategy was applied on a fractured carbonate reservoir from the Persian Gulf. In the presented strategy, the facture will be identified initially by the FMI log, and then the fracture intensity and cumulative intensity logs were derived. Subsequently by defining zonation area based on fracture intensity cumulative log gradient, primary zonation of the formation reservoir was performed. In this step, fracture model from seismic data was integrated by the upscaled fractures model from well data. Hence, four fracture zone identified in the upper formation reservoir and two in the lower one. Based on this model, one zone from each formation were proposed for further study.