Nothing Special   »   [go: up one dir, main page]

Gala et al., 2023 - Google Patents

Optimizing completion design to improve near-wellbore and far-field cluster efficiency: Leveraging downhole data and calibrated physics-based models

Gala et al., 2023

Document ID
10067663213609188189
Author
Gala D
Pankaj P
Kamps J
Ryu J
Choi N
Zhang M
Sharma M
Publication year
Publication venue
Unconventional Resources Technology Conference, 13–15 June 2023

External Links

Snippet

Measurements such as in-well and cross-well fiber optics, perforation-imaging, and slant well coring have indicated that fracs from perforation clusters grow unevenly in the near wellbore and far-field. Sub-optimal cluster efficiency is caused by in-situ rock variations, poor …
Continue reading at library.seg.org (other versions)

Classifications

    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/25Methods for stimulating production
    • E21B43/26Methods for stimulating production by forming crevices or fractures
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/003Seismic data acquisition in general, e.g. survey design
    • G01V1/005Seismic data acquisition in general, e.g. survey design with exploration systems emitting special signals, e.g. frequency swept signals, pulse sequences or slip sweep arrangements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/40Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
    • G01V1/44Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging using generators and receivers in the same well
    • G01V1/48Processing data
    • G01V1/50Analysing data
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/02Subsoil filtering
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/11Perforators; Permeators
    • E21B43/119Details, e.g. for locating perforating place or direction
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • E21B49/08Obtaining fluid samples or testing fluids, in boreholes or wells
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00Survey of boreholes or wells
    • E21B47/10Locating fluid leaks, intrusions or movements
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/14Obtaining from a multiple-zone well

Similar Documents

Publication Publication Date Title
US9715026B2 (en) System and method for performing microseismic fracture operations
Holley et al. Fiber-optic monitoring: Stimulation results from unconventional reservoirs
US10302791B2 (en) Enhancing reservoir characterization using real-time SRV and fracture evolution parameters
US20140083687A1 (en) Production in fractured systems
Sinha et al. A novel screening method for selection of horizontal refracturing candidates in shale gas reservoirs
US20220145742A1 (en) Hydraulic fracturing, completion, and diverter optimization method for known well rock properties
Pudugramam et al. Optimizing well spacing and completion design using simulation models calibrated to the Hydraulic Fracture Test Site 2 (HFTS-2) dataset
Zakhour et al. HFTS-2 Completions Design and State-of-the-Art Diagnostics Results
Ugueto C et al. Accelerated stimulation optimization via permanent and continuous production monitoring using fiber optics
Lorwongngam et al. Using multidisciplinary data gathering to evaluate eXtreme limited entry completion design and improve perforation cluster efficiency
US11939864B2 (en) Cluster efficiency operation control
Khodabakhshnejad Impact of frac hits on production performance-a case study in Marcellus Shale
Haustveit et al. Empirical Meets Analytical-Novel Case Study Quantifies Fracture Stress Shadowing and Net Pressure Using Bottom Hole Pressure and Optical Fiber
Kerr et al. Multi-Pronged Diagnostics with Modeling to Improve Development Decisions-An Operator Case Study
Brinkley et al. An Eagle Ford case study: Monitoring fracturing propagation through sealed wellbore pressure monitoring
Li et al. A comprehensive simulation study of Hydraulic Fracturing Test Site 2 (HFTS-2): Part I–Modeling pressure-dependent and time-dependent fracture conductivity in fully calibrated fracture and reservoir models
Gala et al. Optimizing completion design to improve near-wellbore and far-field cluster efficiency: Leveraging downhole data and calibrated physics-based models
US11913314B2 (en) Method of predicting and preventing an event of fracture hit
Bruesewitz et al. Integrating rock properties and fracture treatment data to optimize completions design
Collins et al. Addressing Forecasting Non-Uniqueness and Uncertainty in Unconventional Reservoir Systems Using Experimental Design
Maity et al. Understanding near-field fiberoptic observations in the context of completion designs, fracturing effectiveness, and drainage characteristics. A case study from the hydraulic fracturing test site (HFTS-2) in Delaware basin
Chin et al. Sealed Wellbore Pressure Monitoring in the Montney: Early Learnings
Weijers et al. A Back-Of-The-Envelope Model to Estimate Dimensions for Every Shale Frac
Roberts et al. Characterization and learnings of far field fracture propagation in the Marcellus Shale using aggregated lf-das datasets
Edwards et al. Using high resolution geomechanical data and machine learning to inform drilling decisions and completions operations in the Wolfcamp, Delaware Basin