通过ai优化esp的操作参数来提高石油产量。第一阶段

An energy industry client’ssuccess storyO Oil and gas companies are alwayslooking for new ways to raiseproductivity, lower production costs,avoid downtime, and prevent asset failures.Artificial Lift Optimization (ALO) is critical todriving well production growth. ElectricalSubmersible Pumps (ESP) account for thelargest share of the artificial lift marketand play a critical role in helping energycompanies realize operational excellence. ur client, Vital Energy, is a leadingenergy company that focuseson the acquisition, exploration,and development of oil and natural gasproperties. Operational efficiency andproduction optimization are among thekey company’s priorities. Currently, VitalEnergy is investing in digital technologiesto ensure asset integrity, reduce operatingcosts, and increase production rates. Today, reliance on manual methodsfor ESP monitoring and optimization istime-consuming, expensive, and prone tohuman error. But intelligent technologiessuch as Artificial Intelligence (AI), MachineLearning (ML), and Big Data can takethe complexity out of operating ESPs byhelping to identify opportunities, recognizeproblems, and optimize production rates. ESP-operated wells play a strategic rolein Vital Energy's digital transformationstrategy. New and in-service wells thatrun on ESP need constant monitoring andtuning of operating parameters to achievehigh efficiency and production targets. VitalEnergy wanted to create an AI-based solutionfor ESP optimization that will automaticallyrecommend ESP operating parameters, givethe ability to visualize all the necessary data,and have a way to leave feedback, inputlimitations, and operating constraints. Our approach SoftServe helped Vital Energy build a comprehensive solution on Amazon Web Services(AWS) using Deep Neural Network (DNN) algorithms and optimization techniques,including extensive visualization and interpretation for end users. It models theentire system by simulating telemetry and production with different scenarios. Also, itallows Vital Energy to find the best possible controls to meet constraints such as motortemperature, voltage, intake pressure, and gas or water volume. The algorithm can beadapted to various ESP systems and provides operators with optimal daily control. Solution outcomes: •An ML model with high prediction accuracy of oil/gas/water productiondetermined from data collected during several months from 50 ESPs•An automatically retrained pipeline deployed to the AWS environment•Interactive visualizations of simulation scenarios•Streamlit dashboard as a prototype platform for parameter recommendations testing•Combination of ML- and physical-based models Value delivered SoftServe helped Vital Energy move to data-driven ESP optimizationand achieve their business goals, including: •Real-time dashboards that provide summary statistics, forecasts, and parameterrecommendations for better decision-making•A highly flexible solution that can be adapted to a variety of ESP systems•Reduced downtime, better maintenance practices, and reduced OPEX•Our initial pilot was estimated to see additional ~400 BBL across 29 test wells•Scalability in months from 29 to more than 100 wells in production•High accuracy of prediction of oil/gas/water production LET’S TALKabout how SoftServe can help digitally transform your company processes andeffectively scale your digital strategy to the next level. ABOUT SOFTSERVE We are a digital authority made up of advisors, engineers, and designerswho deliver innovation, quality, and speed to elevate and accelerate ourclients’ digital journeys. Our approach is built on a foundation of empathetic, human-focusedexperience design that ensures value and continuity from concept torelease. WE IDENTIFY WHERE YOU ARE.WE PREPARE YOU FOR THE ROAD AHEAD.WE TAKE YOU WHERE YOU NEED TO GO. Visit ourwebsite,blog,LinkedIn,Facebook, andTwitterpages. NORTH AMERICAN HQ 201 W 5th Street, Suite 1550Austin, TX 78701USA +1 866 687 3588 (USA)+1 647 948 7638 (Canada) EUROPEAN HQ 30 Cannon StreetLondon EC4M 6XHUnited Kingdom+44 333 006 4341 info@softserveinc.comwww.softserveinc.com