... & gas prediction horizon neural network constraint deep learning production prediction calculation machine learning methods application spe russian petroleum technology conference oil production algorithm proxy model injection well optimization algorithm prediction field development...

... Abstract As geological environment becomes more complicated, specifics of oil fields with high gas content more demanding, and the Company's requirements for assets development efficiency more stringent, new challenges arise that require application of high-tech approaches and new tools...

.../well testing development target application average pressure hydrodynamic connectivity fluid dynamics prediction connectivity history matching upstream oil & gas calculation average reservoir pressure stooip deposit deep learning iam injection well fraction proxy model...

... boundaries with resistivity contrast. drilling operation boundary detection tool data interpretation application interpretation directional drilling horizontal section boundary bed boundary detection tool reservoir navigation upstream oil & gas boundary detection tool detection tool...

...) and is highly sustainable, which is confirmed by the examples given in this article as to the application of IAM for various production tasks. The developed automated tools allow making prompt decisions to optimize well stock operation, as well as to reveal deviations in the process parameters of downhole...

... quality control and correction of directional measurements), as a result, reducing the risks of crossing the fluid contacts by the wellbore. This work is devoted to the methods of detecting and minimizing the inclinometer measurement error while drilling, as well as the application of the results...

... application requires at least two wells construction - for cold fluid injection and superheated fluid production. The rock - circulating fluid heat exchange in the bottomhole requires drilling of inclined, horizontal, or multi-lateral boreholes and hydraulic fracturing application. Such technologies...

... Abstract The article describes the application of a new stochastic inversion of the deep-azimuthal resistivity data, independent from the tool vendor. The new model was performed on the data from several wells of the PAO «Novatek», that were drilled using deep-azimuthal resistivity tools of two...

... Abstract The application of chemical enhanced oil recovery methods is based mainly on data from experiments. Determining the adsorption constants without destroying the sample remains a relevant problem. It is necessary for accurate data. The determination of filtration parameters of high...

... cement property casing design upstream oil & gas production casing 178 casing and cementing gas and condensate field completion installation and operations drilling operation annular space application cement stone orenburg oil cement chemistry cement slurry production casing metal...

... ( Unified Time Regulations in Process, 1987 ), which is mainly aimed at preventing unjustified costs during the process of well construction (excess time), planning the duration of operations, conducting procedures to select the applicants for work. drilling operation make-up time controlling...

... and fractured sands. The engineering considerations, fundamentals of the approach and major risks involved were reviewed with application to the Sredneboutobinskoye Oilfield as a pilot field application for broader future plans. Key planning, delivery and execution principles of the initial application...

... of computational resources, enabled the inception of digital techniques, which estimate oil, gas, and water rates indirectly. This paper discusses the application of continuous deep learning models, capable of reproducing multiphase flow dynamics for production monitoring purposes. This technique combines time...

... historical data, selecting and preparing a machine learning model, testing it on real-time data by means of desktop application. The idea is to display the solution at the rig floor, allowing Driller to quickly take actions for prevention of stuck pipe event. Historical data mining and analysis were...

... dynamics selection exposure gas injection bazhenov formation shale gas oil shale displacement coefficient petroleum gas pressure drop application sorbed hydrocarbon injection Introduction The Bazhenov shale oil formation belongs to the largest oil and gas source rocks of Russia...

... Abstract Justified application of enhanced oil recovery (EOR) methods is one of the key tasks of oil operating companies for the effective development of not only brown oil fields at a mature stage of production, but also for green fields. The selection and justification of one or another...

... drill pipe production monitoring drilling fluids and materials upstream oil & gas application electric drilling cable section characteristic downhole motor communication channel rotational speed electrodrill reliability torque coiled tubing electrical motor Introduction A big...

... Abstract Production monitoring is essential not only for fiscal applications, but also for production optimization and efficient reservoir management. So, production measurements must be both accurate and frequent enough, revealing a consistent trend of well operating parameters...

... acquisition accuracy non reservoir roc auc reservoir characterization drilling operation positive class algorithm error matrix torque lithology-on-bit prediction drilling measurement upstream oil & gas drilling parameter application petroleum engineer interpretation lithology...

... of defects by the operator at the stage of preparing data for training neural networks, which is a subjective factor and requires a deeper study. neural network dimension artificial neural network procedure artificial intelligence mathematical algorithm well structure application upstream oil...