Next generation downhole big data platform for dynamic data-driven well and reservoir management

Title

Next generation downhole big data platform for dynamic data-driven well and reservoir management

Subject

Big data
Oil wells
Information management
Reservoir management
Petroleum reservoir evaluation
Seismology
Petrophysics
Well completion
Data integration

Description

The instrumentation of reservoirs and wells using distributed downhole sensor and information-communication systems has enabled significant advances in their management. Examples include monitoring of well integrity and reservoir compaction
production monitoring of artificial lift wells
data integration for short-term history matching, reservoir characterization and geologic model updating
flow rate allocation, inflow profiling, probabilistic production forecasting and downhole set point optimization in intelligent well completions
matrix acidizing and hydraulic fracturing characterization, dynamic estimation of petrophysical properties
dynamic geomechanical properties estimation
joint inversion of distributed downhole fiber sensing and time-lapsed seismic data for anisotropy permeabilities estimation
skin analysis
reservoir and well performance diagnosis
reservoir analysis and parameter estimation, multiphase flow assurance and many more. Copyright 2017, Society of Petroleum Engineers.
884-921

Creator

Bello, Oladele
Yang, Don
Lazarus, Sony
Wang, Xiaowei Shawn
Denney, Tommy

Publisher

SPE Reservoir Characterisation and Simulation Conference and Exhibition, RCSC 2017, May 8, 2017 - May 10, 2017

Date

2017

Type

conferencePaper

Identifier

10.2118/186033-ms

Citation

Bello, Oladele et al., “Next generation downhole big data platform for dynamic data-driven well and reservoir management,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/28235.

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