Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Study on Physical Property Prediction Method of Tight Sandstone Reservoir Based on Logging While Drilling Parameters
by
Liu, Zhaoyi
, Zhang, Ligang
, Li, Junru
, Xue, Dongyang
, Jiang, Chenxu
, Li, Hao
in
Accuracy
/ Acoustics
/ Data logging
/ Datasets
/ Decisions
/ Drill bits
/ Drilling
/ Drilling and boring
/ Exploration
/ Friction
/ Lithology
/ Mechanical properties
/ Methods
/ Modulus of elasticity
/ Parameters
/ Physical properties
/ Predictions
/ Real time
/ Reservoirs
/ Sandstone
/ Simulation
/ Specific energy
/ Storage modulus
2025
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Study on Physical Property Prediction Method of Tight Sandstone Reservoir Based on Logging While Drilling Parameters
by
Liu, Zhaoyi
, Zhang, Ligang
, Li, Junru
, Xue, Dongyang
, Jiang, Chenxu
, Li, Hao
in
Accuracy
/ Acoustics
/ Data logging
/ Datasets
/ Decisions
/ Drill bits
/ Drilling
/ Drilling and boring
/ Exploration
/ Friction
/ Lithology
/ Mechanical properties
/ Methods
/ Modulus of elasticity
/ Parameters
/ Physical properties
/ Predictions
/ Real time
/ Reservoirs
/ Sandstone
/ Simulation
/ Specific energy
/ Storage modulus
2025
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Study on Physical Property Prediction Method of Tight Sandstone Reservoir Based on Logging While Drilling Parameters
by
Liu, Zhaoyi
, Zhang, Ligang
, Li, Junru
, Xue, Dongyang
, Jiang, Chenxu
, Li, Hao
in
Accuracy
/ Acoustics
/ Data logging
/ Datasets
/ Decisions
/ Drill bits
/ Drilling
/ Drilling and boring
/ Exploration
/ Friction
/ Lithology
/ Mechanical properties
/ Methods
/ Modulus of elasticity
/ Parameters
/ Physical properties
/ Predictions
/ Real time
/ Reservoirs
/ Sandstone
/ Simulation
/ Specific energy
/ Storage modulus
2025
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Study on Physical Property Prediction Method of Tight Sandstone Reservoir Based on Logging While Drilling Parameters
Journal Article
Study on Physical Property Prediction Method of Tight Sandstone Reservoir Based on Logging While Drilling Parameters
2025
Request Book From Autostore
and Choose the Collection Method
Overview
The pore degree prediction method based on well logging interpretation for tight sandstone reservoirs cannot meet the requirements of timeliness and rapidity for well exploration decisions. This paper utilizes the logging parameters during drilling, combined with acoustic time difference experiments, dynamic and static parameter experiments, and full-scale drill bit rock-breaking simulation, to reveal the response characteristics of reservoir properties to the feedback information from logging and rock-breaking and establishes a pore degree prediction method. The results show that as the pore degree decreases, the dynamic and static elastic modulus increases, the rate of penetration decreases, the torque increases, the mechanical specific energy increases, and a mathematical relationship model between pore degree and mechanical specific energy is established, achieving real-time drilling prediction of pore degree. The new method has been applied in the NB block, and the coincidence rate with the well-logging interpretation results reaches over 83%. The research results have provided real-time predictions of reservoir pore degrees and improved the efficiency of exploration decisions.
This website uses cookies to ensure you get the best experience on our website.