Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Gravel packing long horizontal wells presents many challenges to completion operations. The accurate calculation of Alpha wave dune height under dynamic wellbore conditions is on the top of the list. Alpha wave dune height is critical during job planning and the afterward successful gravel placement execution. Excessive Alpha wave dune height is the cause of many early time screenout and job failures. The job parameters, including wellbore geometry, pump rate, leakoff and leakoff control, fluid density and viscosity, gravel particle size and geometry, liteProp and conventional gravel, wellbore temperature profile, bottomhole pressure distribution, will all have impact on Alpha wave height. This paper investigates and summarizes several particle transfer models, analytical and empirical ones, their applications in Alpha wave dune height calculations, their limitations and effective application windows. The paper also provides dynamic Alpha wave height calculation methodology to account for dynamic bottomhole conditions, especially the fluid leakoff to formation and to screen wash pipe annulus, bottomhole in-situ gravel concentration, and their impact on Alpha wave dune height calculation. The sensitivities of these models under different job conditions are also studied. Several job designs and application histories are presented in the paper to demonstrate the application of different particle transport models. Guidelines are provided for operators to make proper adjustment when an undesired condition is present during gravel placement. Introduction Horizontal well openhole gravel packing is an effective sand control technique. Although the process itself is complex, the gravel placement can be simplified as Alpha-Beta wave packing. Job design and job planning play a critical role in the successful execution of gravel placement. This is especially the case for wells under extreme conditions, such as deep and ultra deep water, long and ultra long horizontal wellbore sections, and unconsolidated formations with low fracture gradient reservoirs.1–7 Gravel packing is a process of particle transfer, a dynamic process of particles being deposited and picked up, being transported forward. Particle transfer in horizontal and deviated pipes have long been research subjects, dealing with particle transport in mining industry, borehole cleaning and gravel packing in oil/gas industry. Different particle transfer models, both analytical and empirical ones have been published and each with its test conditions and applicable window to the field with conditions similar to conditions tested. Particle Transfer Models and Critical Velocity In horizontal pipes the solid-liquid flow can occur in a number of different flow regimes. The common flow regimes are pseudo-homogeneous suspensions, heterogeneous suspensions, heterogeneous suspensions with sliding beds, and stationary beds. Instead of studying the detail behavior of each flow regime, the critical or equilibrium velocities are the focal points of researches. Several models were published and adapted in the area of gravel packing. The Model of Gruesbeck et al. Gruesbeck et al.8 pioneered the studying of gravel packing deviated and horizontal wellbores. The equilibrium velocity model they developed was later used by different authors in publications. The critical velocity model was a curve fitting from experimental data, when plotted observed critical velocity vs calculated critical velocity.
Gravel packing long horizontal wells presents many challenges to completion operations. The accurate calculation of Alpha wave dune height under dynamic wellbore conditions is on the top of the list. Alpha wave dune height is critical during job planning and the afterward successful gravel placement execution. Excessive Alpha wave dune height is the cause of many early time screenout and job failures. The job parameters, including wellbore geometry, pump rate, leakoff and leakoff control, fluid density and viscosity, gravel particle size and geometry, liteProp and conventional gravel, wellbore temperature profile, bottomhole pressure distribution, will all have impact on Alpha wave height. This paper investigates and summarizes several particle transfer models, analytical and empirical ones, their applications in Alpha wave dune height calculations, their limitations and effective application windows. The paper also provides dynamic Alpha wave height calculation methodology to account for dynamic bottomhole conditions, especially the fluid leakoff to formation and to screen wash pipe annulus, bottomhole in-situ gravel concentration, and their impact on Alpha wave dune height calculation. The sensitivities of these models under different job conditions are also studied. Several job designs and application histories are presented in the paper to demonstrate the application of different particle transport models. Guidelines are provided for operators to make proper adjustment when an undesired condition is present during gravel placement. Introduction Horizontal well openhole gravel packing is an effective sand control technique. Although the process itself is complex, the gravel placement can be simplified as Alpha-Beta wave packing. Job design and job planning play a critical role in the successful execution of gravel placement. This is especially the case for wells under extreme conditions, such as deep and ultra deep water, long and ultra long horizontal wellbore sections, and unconsolidated formations with low fracture gradient reservoirs.1–7 Gravel packing is a process of particle transfer, a dynamic process of particles being deposited and picked up, being transported forward. Particle transfer in horizontal and deviated pipes have long been research subjects, dealing with particle transport in mining industry, borehole cleaning and gravel packing in oil/gas industry. Different particle transfer models, both analytical and empirical ones have been published and each with its test conditions and applicable window to the field with conditions similar to conditions tested. Particle Transfer Models and Critical Velocity In horizontal pipes the solid-liquid flow can occur in a number of different flow regimes. The common flow regimes are pseudo-homogeneous suspensions, heterogeneous suspensions, heterogeneous suspensions with sliding beds, and stationary beds. Instead of studying the detail behavior of each flow regime, the critical or equilibrium velocities are the focal points of researches. Several models were published and adapted in the area of gravel packing. The Model of Gruesbeck et al. Gruesbeck et al.8 pioneered the studying of gravel packing deviated and horizontal wellbores. The equilibrium velocity model they developed was later used by different authors in publications. The critical velocity model was a curve fitting from experimental data, when plotted observed critical velocity vs calculated critical velocity.
Unconsolidated sand reservoirs, with the characteristics of high permeability, large porosity, and low fracture gradient, are common and present challenge sand control tasks facing completion engineers. Avoiding fracturing such formation and preventing excessive fluid leakoff are the primary concerns to achieve successful gravel placement during job execution. Gravel packing these wells needs innovative technologies and practices. The light and ultra-light weight proppants, with their unique properties and advantages over conventional gravel, are important options to ensure wellbore be successfully packed under low pump rate. Light and ultra-light weight particles transport phenomena and their Alpha and Beta wave packing behaviors were studied. An unified particle transport model is developed to accurately model Alpha and Beta wave behaviors. The paper presents the validation of unified model by wide ranges of field case histories under different pump rates and particle over fluid density ratios. Particle density and geometry, fluid properties, and wellbore configuration are the dominant factors to affect wave building up process. The paper presents the guidelines to design proper pumping schedule and optimal Alpha wave dune height under given well condition. Carrying fluid leakoff and excessive Alpha wave dune height are the causes of many early time screenout and job failures. Underachieved gravel packing will reduce the effectiveness of sand control and result in screen damage during early production. Job histories are presented in the paper to demonstrate the practical considerations of job design and execution, and the use of light and ultra-light weight proppant over conventional gravel to ultimately increase the effectiveness of sand control.
Effective sand control is extremely important for production of hydrocarbons from shallow unconsolidated sand reservoir. In absence of any sand control measure installed in the well, there is high risk of Sand production along with the hydrocarbons. Sand production may result in damage of X-Mass tree and/or Sub-sea infrastructure components. In extreme cases, when the sand production goes beyond the critical limit, it may lead to a situation when the field production has to be stopped. In view of this, in Deep water environment, sand production is considered as a potential hazard. It may lead to tremendous impact on reservoir economics and sustained production from the field.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.