Integrated approach to field development system

2010 ◽  
Author(s):  
A. Shoshin ◽  
A. Valiev ◽  
I. Chuprakov
2009 ◽  
Author(s):  
Innocent Okoro ◽  
Jennifer Krolow ◽  
Djuro Novakovic ◽  
Adeniyi Aladesulu ◽  
Kendall Reynolds ◽  
...  

2021 ◽  
Vol 61 (1) ◽  
pp. 132
Author(s):  
Leigh Thomas ◽  
Matthew Waugh ◽  
Matthew Thornberry ◽  
Hanming Wang ◽  
Haifeng Wang ◽  
...  

2020 ◽  
Author(s):  
Hiren Kasekar ◽  
Usama Ghauri ◽  
Michael Nevin ◽  
Raphaele Mel ◽  
Mattheus Uijttenhout ◽  
...  

2020 ◽  
Author(s):  
Mikhail Mavletdinov Grigoryevich ◽  
Sergey Solyanov Anatolyevich ◽  
Marsel Fattakhov Masalimovich ◽  
Maksim Zipir Gennadyevich ◽  
Aleksey Devyatkov Mikhaylovich

2021 ◽  
Vol 40 (5) ◽  
pp. 357-364
Author(s):  
Jaewoo Park ◽  
Craig Hyslop ◽  
Da Zhou ◽  
Arjun Srinivasan ◽  
Patricia Montoya ◽  
...  

Carbonate reservoirs are increasingly becoming an important resource for hydrocarbon production because they contain the majority of remaining proven oil and gas reserves. In this context, carbonate reservoirs could represent new opportunities; however, there is still a lack of understanding of their subsurface status and characterization. Carbonate reservoirs are more difficult to evaluate than their siliciclastic counterparts because many aspects of carbonate rocks make their seismic image signature complex and difficult to interpret. Moreover, the presence of complex overburden such as shallow gas accumulation can exacerbate amplitude and phase fidelity at the reservoir, which introduces an additional imaging challenge. This makes field development of carbonate reservoirs extremely difficult because field development requires detailed delineation of characteristic karst features to avoid drilling hazards and sudden water breakthrough. In this paper, we demonstrate that a tight integration of signal processing, depth model building, and imaging, as well as near-real-time seismic interpretation feedback, is the key to success for imaging complex carbonate reservoirs with overburden challenges. Our findings show that such an integrated approach can result in a substantially better image, reduced depth uncertainty, and better delineation of karst and fractures. It can also aid in well placement and improve reservoir property modeling.


Author(s):  
E.F. Melnikova

The article considers а mathematical model of analyzing the feasibility of an upstream project (correctional resistance model), including the formation of redundancy for correction’s implementation aimed at increasing the probability of project execution within the target efficiency metrics to the desired value of the project realization probability, as a result it allows to speak about the transition to a qualitatively new level of cooperation between stakeholders of the project, including through partnerships. This approach is applicable at all stages of oilfield development project lifecycle, for the accumulation and improvement of the project knowledge base, which is valuable for each of the project participants and significantly increases with an integrated approach to the project management.


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