Landmark Graphics Corporation

Gustavo Carvajal

Alvin Stanley Cullick

Marko Maucec

Hatem N Nasr

Luigi Saputelli

Hasnain A Khan

Steven Patton Knabe

Amit Kumar

Priyesh Ranjan

Sheldon Burt Gorell

Karelis Alejandra Urrutia

Giuseppe Moricca

Jose Antonio Rodriguez

Ajay Pratap Singh

Miguel Villamizar

Maiquel Manuel Querales

Seyed M Mirzadeh

Rama Krishna Vellanki

Carlos M LopezGarcia

Jeffrey Marc Yarus

Genbao Shi

Vitaly Khoriakov

Richard L Chambers

Michael Konopczynski

Feng Wang

Michael Szatny

Douglas W Johnson

Ian Boisvert

Andrey Flippov

Arturo Diaz

Joydeep Dhar

Marshal A Strobel

Alejandro Chacon

Dhruv Vashisth

Nurul F Md Adnan

Luigi A Saputelli

Andrey Filppov

Maiquel Querales

Rama K Vellanki

Ranjan Priyesh

Burt Gorell Sheldon

In some embodiments, an apparatus and a system, as well as a method and an article, may operate to receive parameters for a first node of a network, the network including a plurality of segments through which an object is to be routed and a plurality of nodes, including the first node, representative of intersections of two or more segments of the plurality of segments; to generate segment lengths for segments between the first node and neighboring nodes to identify a nearest neighboring node with a shortest segment length relative to the first node; and to repeat operations of receiving parameters, generating segment lengths, and identifying nearest neighboring nodes until a route has been identified between a first endpoint and a second endpoint of the network. Additional apparatus, systems, and methods are disclosed.

Path optimization in production network systems

Systems and methods for a hybrid approach to assisted history matching in large reservoirs based on a reservoir model built using connectivity between each production well and each corresponding injection well, aquifer or gas cap.

Hybrid approach to assisted history matching in large reservoirs

A system for Water-Alternating-Gas (WAG) injection for Enhanced Oil Recovery (EOR) includes a mechanical well configured to enable multi-point selective injection for water and gas. The system further includes an optimization engine configured to calculate reservoir flow dynamics and selectively inject water and gas via the mechanical well according to reservoir flow dynamics.

Method, system, and optimization technique to improve oil reservoir recovery in the Water-Alternating-Gas injection process by using downhole control valves (WAG-CV)

Systems and methods for subsurface secondary and/or tertiary oil recovery optimization based on either a short term, medium term or long term optimization analysis of selected zones, wells, patterns/clusters and/or fields.

Systems and methods for subsurface oil recovery optimization

Systems and methods for creating virtual production logging tool profiles for improved history matching and proactive control of smart wells.

Creating virtual production logging tool profiles for improved history matching

Systems and methods for monitoring, diagnosing and optimizing operation of a gas lift (GL) system, at least some of which include a method that includes collecting measured data representative of the GL system's state, storing the measured data, comparing the measured data to a well model's calculated data for the well and identifying likely conditions of the GL system based on mismatches between the measured data and the calculated data. The method further includes updating the model to reflect the likely conditions and selected corrections of the likely conditions, generating GL system performance curves using the updated model and presenting to a user actions recommended to achieve a GL system performance consistent with a GL system operating point on at least one of the GL system performance curves.

Monitoring, diagnosing and optimizing gas lift operations by presenting one or more actions recommended to achieve a GL system performance

Predicting future hydrocarbon production. At least some of the illustrative embodiments are methods including: reading data regarding hydrocarbon production from a hydrocarbon producing field; producing at least one value indicative of future hydrocarbon production based on a data model and the data regarding hydrocarbon production; displaying, on a display device of a computer system, an indication of historic data regarding hydrocarbon production; and displaying, on the display device, an indication of the at least one value indicative of future hydrocarbon production.

Method and system of predicting future hydrocarbon production

Selecting hydrocarbon wells for well testing. The selecting may include identifying hydrocarbon wells whose last well test took place prior to a predetermined date; identifying hydrocarbon wells with a parameter that exceeds a predetermined threshold; and selecting a predetermined number of hydrocarbon wells from the wells identified.

Method and system of selecting hydrocarbon wells for well testing

A method and non-transitory program carrier device tangibly carrying computer executable instructions for adjusting downhole valve settings in order to optimize oil recovery and reduce water production from a well. The method and non-transitory program carrier device are particularly advantageous in wells with intelligent completions that are often referred to as smart wells. In the oil and gas industry, an Internal Control Valve (ICV) is an important tool for both reactive and proactive approaches to adjust ICV settings to improve oil recovery.

Optimizing oil recovery and reducing water production in smart wells

Systems and methods for estimating well production performance in fractured reservoir systems using real-time down-hole temperature and stress information from advanced monitoring techniques.

Estimating well production performance in fractured reservoir systems

Displaying a graphical representation of hydrocarbon production parameters. At least some of the various embodiments are methods including: reading historical values of a production parameter of a hydrocarbon well; calculating a plurality of deviation values with respect to a respective plurality of planned values regarding the production parameter; displaying, on a display device of a computer system, an overhead view of a location of the hydrocarbon well within a hydrocarbon field; and displaying, on the display device proximate the location, a graphical image that depicts each of the plurality of deviation values.

Method and system of displaying a graphical representation of hydrocarbon production parameters

The present disclosure describes systems and methods for monitoring, diagnosing and optimizing operation of an electric submersible pump (ESP). At least some illustrative embodiments include a method that includes collecting measured data representative of a state of an ESP within a well or of well conditions and storing the measured data, matching a nodal analysis model of the well to the well by matching one or more modeled values to corresponding measured data, and identifying one or more likely conditions of the ESP based at least in part on data generated by a matched model. The method further includes updating the matched model to reflect a selected correction of one of the likely conditions identified, generating ESP performance curves using the updated model, and presenting to a user an action recommended to achieve an ESP performance consistent with an ESP operating point selected from one of the ESP performance curves.

Monitoring, diagnosing and optimizing electric submersible pump operations

The present disclosure describes systems and methods for performing multi-level reservoir history matching. At least some illustrative embodiments include a method that includes generating a first history-matched model using at least one updated model parameter derived from one or more existing model parameters, generating a set of second history-matched models by applying a probabilistic inversion to the first history-matched model, and deriving a set of third history-matched models from the set of second history-matched models. The method further includes generating dynamic simulation realization sets using each of the set of third history-matched models, ranking each of the set of third history-matched models based at least in part on the dynamic simulation realization sets, and presenting a production forecast to a user based on the highest ranked third history-matched models.

Multi-level reservoir history matching

Growing community of inventors

Houston, TX, United States of America

Gustavo Carvajal