ConocoPhillips had five patents in artificial intelligence during Q4 2023. The patent describes methods for utilizing shut-in pressures to assess uncertainties in hydraulic fracturing processes in shale reservoirs. By analyzing data from multistage fracturing, variables such as propped fracture height and induced stresses can be calculated, taking into account horizontal stress anisotropy. These variables can then be used to enhance fracturing monitoring, predict hydrocarbon recoveries, and adjust fracturing strategies in reservoir simulations. GlobalData’s report on ConocoPhillips gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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ConocoPhillips grant share with artificial intelligence as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Methods for shut-in pressure escalation analysis (Patent ID: US20230334204A1)
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The patent by ConocoPhillips describes methods for utilizing shut-in pressures to determine uncertainties in hydraulic fracturing processes in shale reservoirs. By analyzing data collected during multistage fracturing, variables such as propped fracture height and induced stresses can be calculated, considering horizontal stress anisotropy. These variables can then be integrated into reservoir simulations to enhance fracturing monitoring, predict hydrocarbon recoveries, or adjust fracturing plans.
The patent's claims detail a method for oil production involving obtaining shut-in pressure data at the end of each fracturing stage, inputting this data into a software program to match it by varying stress plateau and escalation, estimating fracture height and other parameters, and optimizing fracturing plans based on the data. The method also involves measuring ISIP at different stages, determining fracture reorientation based on stress load, and modifying various parameters in the fracturing plan to enhance oil production. Additionally, the method includes estimating fracture height and horizontal-stress anisotropy, optimizing reservoir fracturing plans using this data, and implementing these plans to produce oil effectively from the well or a second well in the reservoir.
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