... Abstract A key challenge faced in unconventional reservoir development is well densities coupled with modern completion designs to economically optimize resource development. Most data analytic applications use single well production and completion data to explore optimized strategies. However...

... Data analytics methods (data mining and artificial intelligence) have been used to model the production from unconventional plays. However, the performance of predictive models derived from these techniques has not been very successful. Their weak performance can be attributed to several...

... variables across the entire basin. Introduction DJ Basin breakevens are competitive among North American plays, averaging $35/bbl WTI in 2017, behind the Midland and Delaware basin averages of $32/bbl and $33/bbl. Data analytics using a multidisciplinary approach offers both qualitative and quantitative...

... of the geomechanical behavior of the reservoir. Our integrated workflow demonstrated that data analytics expedites the process of calibration and improves predictions. machine learning hydraulic fracturing Artificial Intelligence data mining reservoir simulation modeling data analytic field development...

... transportation and disposal costs. Ettehadtavakkol & Jamali (2017) proposed a predictive data-analytics workflow and illustrated its application it to four counties in Pennsylvania. The workflow comprised of developing a county-wide gas-wastewater correlation from historical production data and using...

... Summary Water recycling and disposal facility requirements for the Marcellus natural gas trend are discussed using data analytic methods. Data analytic methods aim to handle dataset diversity and scale, and apply computational requirements for estimating future fluids production...

... Abstract It is better to know what you don't know than not know anything at all. For operators, this means using data analytics to understand shortcomings and successes in their own operations as well as competitors. Unfortunately, public data sources aren't always maintained to the same...

... Abstract This paper provides an overview of data analytics concepts and applications in the context of production data analysis for unconventional reservoirs. Topics discussed under key concepts in data analytics include: predictive modeling methods, handling missing variables, model...