METRIC-BASED SUSTAINABILITY INDEX FOR WELLBORE LIFE CYCLE

    公开(公告)号:US20210388717A1

    公开(公告)日:2021-12-16

    申请号:US17039327

    申请日:2020-09-30

    Abstract: A system can assign a value to one or more sustainability factors for a wellbore operation based on historical data. The system can determine, for each of the one or more sustainability factors, a weight. The system can determine a sustainability index corresponding to a predicted carbon footprint for the wellbore operation based on the weight and the value for each of the one or more sustainability factors. The system can output a command for adjusting the wellbore operation based on the sustainability index.

    Method and apparatus to predict casing wear for well systems

    公开(公告)号:US11199083B2

    公开(公告)日:2021-12-14

    申请号:US16607528

    申请日:2017-06-16

    Abstract: A method for determining casing wear of casing in a wellbore, a computer program product for determining a back-calculated casing wear factor (CWF) value for casing in a wellbore, and a well site controller are provided herein. In one embodiment, the well site controller includes: (1) an interface configured to receive actual remaining wall thickness (RWT) values that correspond to a set of casing depth values of a wellbore and (2) a processor configured to determine a back-calculated casing wear factor (CWF) value for the wellbore based on a comparison between the actual RWT value and an estimated RWT value, for the set of casing depth values, where the estimated RWT value is calculated using an estimated CWF value as input.

    Static earth model grid cell scaling and property re-sampling methods and systems

    公开(公告)号:US11181662B2

    公开(公告)日:2021-11-23

    申请号:US14913983

    申请日:2013-08-28

    Abstract: At least some of the disclosed systems and methods obtain a static earth model having a three-dimensional grid with multiple cells, each cell having petrophysical properties associated therewith. Further, at least some of the disclosed systems and methods adjust a size of at least some of the cells based on a predetermined scaling rule. Further, at least some of the disclosed systems and methods re-sample petrophysical properties for the adjusted grid cells. If the one or more attributes of the static earth model are within a threshold tolerance after the adjusting and re-sampling steps, the static earth model is used as input to a flow simulator.

    FACILITATING HYDROCARBON EXPLORATION BY APPLYING A MACHINE-LEARNING MODEL TO BASIN DATA

    公开(公告)号:US20210341643A1

    公开(公告)日:2021-11-04

    申请号:US16864810

    申请日:2020-05-01

    Abstract: A system includes a processor and a memory. The memory includes instructions that are executable by the processor to cause the processor to receive basin data of a target basin including an area of the target basin, a number of exploration wells in the target basin, and a number of discovery wells in the target basin. Additionally, the instructions are executable to cause the processor to provide the basin data as input to a trained machine-learning model to determine a predicted trajectory of exploration efficiency of the target basin. Further, the instructions are executable to cause the processor to, in response to providing the basin data as input to the trained machine-learning model, receive an output from the trained machine-learning model indicating the predicted trajectory of exploration efficiency in the target basin.

    Automated upscaling of relative permeability and capillary pressure in multi-porosity systems

    公开(公告)号:US11163923B2

    公开(公告)日:2021-11-02

    申请号:US15758573

    申请日:2017-02-14

    Abstract: A three-dimensional reservoir simulator used for automated upscaling relative permeability and capillary pressure in multi-porosity systems comprising disparate rock-types. A coarse-scale single-porosity model incorporating multi-porosity model properties may be derived from a fine-scale single-porosity model based, at least in part, on simulation of a model comprising data from one or more regions of interest. Real-world and laboratory measurements of the one or more regions of interest may be provided to the fine-scale single-porosity simulation model and the fine-scale single-porosity model may be subjected to one or more fractional flow simulation processes and one or more displacement simulation processes. The fine-scale model properties may be modified based, at least in part, on the results of the one or more fractional flow simulation processes and one or more displacement simulation processes. Coarse scale-model properties may be derived from the fine-scale single-porosity model properties by upscaling the fine-scale single-porosity model. The coarse-scale single-porosity simulation model incorporating multi-porosity model properties may be used to improve operational decision-making, including drilling operations and reservoir management.

    Multi-stage placement of material in a wellbore

    公开(公告)号:US11151454B2

    公开(公告)日:2021-10-19

    申请号:US16631429

    申请日:2017-09-28

    Abstract: A system for multi-stage placement of material in a wellbore includes a recurrent neural network that can be configured based on data from a multi-stage, stimulated wellbore. A computing device in communication with a sensor and a pump is operable to implement the recurrent neural network, which may include a long short-term neural network model (LSTM). Surface data from the sensor at each observation time of a plurality of observation times is used by the recurrent neural network to produce a predicted value for a response variable at a future time, and the predicted value for the response variable is used to control a pump being used to place the material.

    INTELLIGENT, REAL-TIME RESPONSE TO CHANGES IN OILFIELD EQUILIBRIUM

    公开(公告)号:US20210285309A1

    公开(公告)日:2021-09-16

    申请号:US16338972

    申请日:2017-04-27

    Abstract: Systems, methods, and computer-readable media are described for intelligent, real-time monitoring and managing of changes in oilfield equilibrium to optimize production of desired hydrocarbons and economic viability of the field. In some examples, a method can involve generating, based on a topology of a field of wells, a respective graph for the wells, each respective graph including computing devices coupled with one or more sensors and/or actuators. The method can involve collecting, via the computing devices, respective parameters associated with one or more computing devices, sensors, actuators, and/or models, and identifying a measured state associated with the computing devices, sensors, actuators, and/or models. Further, the method can involve automatically generating, based on the respective graph and respective parameters, a decision tree for the measured state, and determining, based on the decision tree, an automated adjustment for modifying production of hydrocarbons and/or an economic parameter of the hydrocarbon production.

    Predicting Damage To Wellbore Tubulars Due To Multiple Pulse Generating Devices

    公开(公告)号:US20210277766A1

    公开(公告)日:2021-09-09

    申请号:US16331256

    申请日:2016-11-15

    Abstract: A method includes comparing a natural frequency of a tubular with a frequency of each of at least two pulse generating devices positioned adjacent each other on the tubular, the tubular and the at least two pulse generating devices comprising an energy system; adjusting the frequency of at least one of the at least two pulse generating devices when the frequency is equal to the natural frequency of the tubular and obtaining an adjusted frequency different from the natural frequency; calculating an energy distribution in the energy system based on the natural frequency and the adjusted frequency of the at least one of the at least two pulse generating devices; and determining a new location on the tubular for positioning one or more of the at least two pulse generating devices such that energy introduced into the energy system is less than energy dissipated from the energy system.

Patent Agency Ranking