International Business Machines Corporation

Llc “Gazpromneft Science & Technology Centre”

Gazpromneft Science & Technology Centre LLC

Artyom Semenikhin

David Echeverria Ciaurri

Oleg S Ushmaev

Vladimir M Babin

Maria Golitsyna

Alexander Pozdneev

Ramil R Yaubatyrov

Bruno Da Costa Flach

Miguel Paredes Quinones

David Kremer Garcia

Arseniy Gruzdev

Andrey M Vashevnik

Nikolay G Glavnov

Well settings in mature oil field may be configured by generating progressively, geological reservoir models by fitting a set of initial geological reservoir models that generate forecasts of fluid injection and production at a well as a function of time, with a subset of historical well data to produce a set of intermediary geological reservoir models, and fitting the set of intermediary geological reservoir models to a next subset of the historical well data. A set of diverse geological reservoir models may be determined from the geological reservoir models. A mid-term schedule of well settings associated with the well may be generated based on the set of diverse geological reservoir models and an economic model that comprises mid-term estimation of oil sale price and of production costs. The mid-term schedule of well settings may be actuated to control the fluid injection and production at the well.

System and tool with increased forecast accuracy to configure well settings in mature oil fields

A plurality of development scenarios is determined. At least a first well is drilled at a first location and trajectory that are common to the plurality of development scenarios. A result of the at least one first well is assessed. A first subset of development scenarios is selected from the plurality of development scenarios based at least on the result of the first well. A first sequence of subsequent wells, including at least one well, are drilled at a first sequence of subsequent locations and trajectories that are common to the first subset of development scenarios.

Adaptive resource reservoir development

Configuring well settings may include determining schedules over a mid-term horizon for well settings for all or a subset of wells in an oil field. The schedule may be generated so that a performance metric for the considered horizon is maximized. An economic metric, for example, a net present value, and production metrics, for example, cumulative oil production, are considered. Minimum acceptable short-term and long-term metrics, for example, short-term and long-term cumulative field oil production, may be included as target/constraints.

System and tool to configure well settings for hydrocarbon production in mature oil fields

Growing community of inventors

Moscow, Russia

Artyom Semenikhin