Saudi Arabian Oil Company

Amer Alanazi

Abdulaziz S Al-Qasim

Ahmed Yasin Bukhamseen

Abdulkareem AlSofi

Hattan M Banjar

Abdulkareem M Alsofi

Ziyad Kaidar

Muataz Hamed Al-Subhi

Ammar Alshehri

Formation treatment fluid compositions and methods are provided that include an aqueous base fluid, where the aqueous base fluid comprises one or more salts; and sago. The profile modification fluid may include sago in an amount in the range from 50,000 ppm to 100,000 ppm. Formation treatment fluid compositions may also include an aqueous base fluid, where the aqueous base fluid comprises one or more salts, and sago, where the formation treatment fluid may include sago in an amount in the range from 10,000 ppm to 50,000 ppm. Methods for using the formation treatment fluid may include introducing into a targeted stratum of a subterranean formation a treatment fluid. The subterranean treatment fluid may include an aqueous base fluid, where the aqueous base fluid includes one or more salts, sago, and the treatment fluid may include sago in an amount in the range from 10,000 ppm to 100,000 ppm.

Sago-based formulations for gel applications including conformance control and water shutoffs

A process of constructing a micromodel for a multiple porosity system includes: drilling a well; coring the well for acquiring core plugs from the well; producing thin section images of the core plugs for acquiring a first feature of the core plugs; and transforming the thin section images to binary images.

Multiple porosity micromodel

Systems and methods include a method for multi-segmented oil production. A multi-segmented well production model representing production at a multi-segmented oil production facility is calibrated. The model models production based on well rates and flowing bottom-hole pressure data at various choke settings for multiple flow conditions for each segment of the multi-segmented well. Real-time updates to the well rates and the flowing bottom-hole pressure data are received. Changes to triggers identifying thresholds for identifying production improvements are received. The model is re-calibrated based on the changes to the triggers and the real-time updates. An optimization algorithm is executed to determine new optimal inflow control valve (ICV) settings. Using the re-calibrated multi-segmented well production model, a determination is made whether the new optimal ICV settings improve production. If so, the optimal ICV settings are provided to a control panel for the multi-segmented oil production facility.

Automated production optimization technique for smart well completions using real-time nodal analysis

A fluid processing system is configured for use in a wellbore in a hydrocarbon-bearing rock formation. The system includes a casing liner disposed in an open hole section of a well for providing a separation zone in a flow of materials from a first reservoir The system includes a downhole separator operatively coupled to the casing liner for separating the first material and the second material within the flow of materials. The flow of materials includes at least a first material and a second material.

Systems and methods for processing downhole fluids

Portion of a display screen with graphical user interface

Systems and methods include a method providing automated production optimization for smart well completions using real-time nodal analysis including comingled production calibration. Real-time well rates and flowing bottom-hole pressure data are collected at various choke settings for multiple flow conditions for each lateral of a multilateral well during regular field optimization procedures. Surface and downhole pressures and production metrics for each of the laterals are recorded for one lateral at a time during production of the well. Flowing parameters of individual laterals are estimated using the multilateral well production model. An optimum pressure drop across each downhole valve is determined using the multilateral well production model. Each lateral of the multilateral well is calibrated during the commingled production at various choke valves settings. The calibrating is done using the multilateral well production model, based at least in part on the optimum pressure drop across each downhole valve.

Automated production optimization technique for smart well completions using real-time nodal analysis including comingled production calibration

Systems and methods include a method providing automated production optimization for smart well completions using real-time nodal analysis including real-time modeling. Real-time well rates and flowing bottom-hole pressure data are collected by a multilateral well optimizing system at various choke settings for multiple flow conditions for each lateral of a multilateral well during regular field optimization procedures. Surface and downhole pressures and production metrics for each of the laterals are recorded for one lateral at a time. A multilateral well production model is calibrated using the surface and downhole pressures and the production metrics for each of the laterals. Flowing parameters of individual laterals are estimated using the multilateral well production model. An optimum pressure drop across each downhole valve is determined using the multilateral well production model. A productivity of each lateral is estimated using the model during the commingled production at various choke valves settings.

Automated production optimization technique for smart well completions using real-time nodal analysis including real-time modeling

Systems and methods include a method for optimizing smart well completions using real-time nodal analysis including recommending changes to downhole settings. Real-time well rates and flowing bottom-hole pressure data at various choke settings for multiple flow conditions are collected for each lateral of a multilateral well. Recommended optimizing changes to downhole inflow control valve (ICV) settings for surface and subsurface ICVs are determined based on the real-time well rates and the flowing bottom-hole pressure data. The optimizing changes are designed to optimize production in the multilateral well. The recommended optimizing changes to the downhole ICV settings for the surface and subsurface ICVs in the laterals are provided for presentation to a user in a user interface of a multilateral well optimizing system. A user selection of one or more of the recommended optimizing changes is received. The recommended optimizing changes selected by the user are implemented.

Automated production optimization technique for smart well completions using real-time nodal analysis including recommending changes to downhole settings

A first expandable tubular is longitudinally extendable from a housing. The first expandable tubular is expandable to a diameter equal to an internal surface of a wellbore. A first expander is configured to expand the expandable tubular. A second expandable tubular is longitudinally extendable from the housing. The second expandable tubular is configured to expand to a diameter equal to an internal surface of the wellbore. The second expandable tubular is downhole of the first expandable tubular. A second expander is configured to expand the second expandable tubular. The second expander is downhole of the first expander. A sensor is downhole of the second expander. The sensor is configured to detect a presence of a wellbore obstruction proximal to the tool.

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Dammam, Saudi Arabia

Amer Alanazi