He is the founder of the spe petroleum data driven analytics technical section dedicated to ai, machine learning and data mining. Board petroleum data driven analytics technical section. Home petroleum data driven analytics technical section login. Contact us petroleum data driven analytics technical section. Datadriven reservoir modeling society of petroleum. Society of petroleum engineers 222 palisades creek drive richardson tx 75080 usa phone. A workflow for intelligent datadriven analytics software. The petroleum data driven analytics pd2a technical section has been formed to foster the application of datadriven modeling, data mining and predictive analytics research, development and practices in upstream oil and gas. Efficiency analysis of massive fracturing with linear gel pad on the achimov formation of the urengoyskoe field. Status of datadriven methods and their applications in. Evolution of data science, machine learning and artificial. Advanced datadriven performance analysis for mature waterfloods. As companies look to reduce the time it takes to inspect a subsea pipeline, as well as the costs involved in the operation, autonomous systems have become a more desirable option. Realtime monitoring devices are becoming the norm, providing large volumes of data.
A workflow for intelligent datadriven analytics software development in oil and gas industry. He also leads the companys software development projects including development of a cloudcomputing cluster and analysis automation system. He is a founding member of the spe petroleum data driven analytics technical section and the recipient of the 2015 spe international production and operations award. Many reservoir engineering problems associated with geological storage of co2 require the development of. Pdf datadriven optimization of injectionproduction in.
He has authored or coauthored 17 industry papers and has served on several committees for the society of petroleum engineers. Methodology for datadriven performance analysis of a pattern waterflood in westsiberia tuesday, 07. When you register, you are automatically registered for each event in the series. Historical data generally has not been used in an effective way in analyzing processes due to lack of a wellorganized data. Society of petroleum engineers spe read more on spe website watch a video of shahab d. Datadriven analytics spe online education society of petroleum. Technology innovation in upstream oil and gas spe aberdeen. Ratepressure transient analysis in unconventional reservoirs. Combining petroleum engineering domain expertise with computer.
Most datadriven projects may follow a similar approach during implementation. Datadriven reservoir modeling spe bookstore society of. Big data, automation, advanced analytics and the industrial internet of things meets oil and gas is a short course that focuses on the impact of digitization that has profoundly. He is a founding member of the spe petroleum datadriven analytics technical section and the recipient of the 2015 spe. Luigi saputelli, spe, senior reservoir engineering adviser, adnoc, and. The goal for datadriven analytics software is to provide the strategy required to optimize business outcomes and decision making while helping to minimize risk. Datadriven analytics is becoming an important point of competitive. Datadriven optimization of injectionproduction in waterflood operations. The datadriven maintenance program incorporates riser condition, usage, and fatigue analysis with a riskbased inspection process. Petroleum datadriven analytics data analytics can help engineers and geoscientist to better. Reservoir analytics datadriven reservoir simulation and modeling. Petroleum data analytics is the application of artificial intelligence and.
Chairman of the moscow section of the international society of petroleum engineers spe. Society of petroleum engineers journal, spe advanced technology series, spe. Jpt petroleum data analytics spe society of petroleum engineers. The petroleum data driven analytics pd2a technical section has been formed. He is a founding member of the spe petroleum datadriven. He is a founding member of the spe petroleum data driven analytics technical section and recipient of the 2015 spe international production and operations award. Spe member price usd 120 datadriven reservoir modeling introduces new technology and protocols intelligent systems that teach the reader how to apply data analytics to solve realworld, reservoir engineering problems. As companies look to reduce the time it takes to inspect a subsea. Spe spb section methodology for datadriven performance analysis. Cognitive analytical system based on datadriven approach for mature reservoir. Data driven analytics isi intelligent solutions, inc.
Saputelli has authored or coauthored more than 70 technical publications in the areas of digital oil field, reservoir management, reservoir engineering, realtime optimization, and. Datadriven analytics for the geological storage of co2. The gulf coast chapter of the society of petroleum engineers will host a oneday data science convention on thursday, april 2nd. The software is designed to be easy to use and powerful enough to collect and calculate all required data during the test cycle. Home petroleum data driven analytics technical section. Spe online education society of petroleum engineers. Review of business intelligence reporting, data visualization dashboards, data story telling and artificial intelligence approaches, the strengths and weaknesses of each. Abstract datadriven methods serve as robust tools to turn data into knowledge. Spe petroleum data analytics series society of petroleum engineers. He is a spe distinguished lecturer and has been featured, four times, in the distinguished author series of spe s journal of petroleum technology jpt.
Siam and the university of houston uh present a free workshop. Mark has a degree in mining engineering from the university of wisconsinmadison and has been a member of spe since joining the industry in 1984. The society of petroleum engineers spe promotes the exchange of technical knowledge within the upstream oil and gas industry. Spe 187468ms datadriven optimization of injectionproduction in waterflood operations. He is an spe distinguished lecturer and has been featured four times as a distinguished author in spe s journal of petroleum technology. This course seeks to provide a practical guide to many of the classical and modern statistical techniques that have. Spe member price usd 120 datadriven reservoir modeling introduces new technology and protocols intelligent systems that teach the reader how to apply data analytics to solve realworld, reservoir. Applied statistical modeling and data analytics for.
He is the founder of the spe petroleum datadriven analytics technical section dedicated. Steve is passionate about finding new technology that can be used to solve longstanding problems. Big data or big data analytics refers to a new technology which can. Society of petroleum engineers keywords datadriven analytics, machine learning, software. He is the founder of spe s petroleum datadriven analytics technical section. Technology innovation in upstream oil and gas presentation at spe simplified series th september 2017.
Spe spb section methodology for datadriven performance. Download the presentation by clicking the link below. Tags for petroleum data driven analytics technical section community. We present a novel, datadriven approach to integrated wellreservoir performance analysis and opportunity identification for mid to latelife patter. Jpt petroleum data analytics society of petroleum engineers.
Expectations from data analytics in the upstream sector continue to evolve. The low volume, compact design and custom software make this instrument. Datadriven analytics is enjoying unprecedented popularity among oil and gas professionals. To learn more about each individual session, please click on each tab above. Python for petroleum data analytics society of petroleum engineers.
Applied statistical modeling and data analytics for petroleum engineers and geoscientists. In analysis and modeling of production from shale, our traditional techniques leave much. Abstract decision making in the oilfield is a crucial process in petroleum oilfield. Improve business impact and value with advanced datadriven analytics 19 20 feb 2018 houston, texas, usa coleader, risk integration and decision analysis special interest group. Petroleum data analytics society of petroleum engineers. The petroleum engineering program at louisiana state university lsu replaced a single course in probability and statistics with a twocourse sequence that included data analysis and. The application of datadriven analytics in the oil and gas industry, therefore, potentially provides opportunities for greater insight and efficiency gains. Subsurface analytics applied atatistical modeling and data analytics for reservoir performance analysis. The book describes how to utilize machinelearningbased algorithmic protocols to reduce large quantities of difficulttounderstand data down to actionable, tractable quantities.
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