This paper was selected for presentation by an SPE Progtam Co",mtnee follow.ng review of informalion conlatned in an abstract submitted by .he authOl(s). Contents of the p_r. as presented, have not been rev;ewed by the Societ}f of Petroleum Engineers ana are subject 10 correcllon by the a;Jt!10r(s) The material. as presented. does not necessarily reflect any position of the Society of Pelroleum Engineers. its officers. or members. papers presented at SPE meetmgs are subject to publication rev!ew by Editorial Comml"~ of the Society of Petro/81Jr11 Engineers. P&rmlssron to copy is restricted to an abstract of not "ore than 300 words, Illustrations rnay nol be copied, The ab~ract should contain conspicuous acknowledgment of where and by Whom the paper is pre.ented. Write Libra'ian. SPE. P.O. Box 833835. Rtchardson. TX 75083-3838. U.S.A .. Telex 163245 SPEUT.
The vast majority of previous work on cuttings transport concentrated on water-base mud systems. The use of low toxicity oil-base mud continues to rise due to increasing environmental concerns with the use and disposal of conventional diesel oil-base mud systems. This study utilizes a full scale test apparatus to compare the cuttings transport performance of low toxicity oil-base and water-base mud systems with similar rheological properties, using limestone drilled cuttings. Extensive comparisons are now being made of cuttings transport efficiency for different mud types and hole angles from a practical standpoint.
The model presented in this paper is a new approach to predicting the performance of full-hole and core drag bits. The model is based on theoretical considerations of single-cutter rock interaction, lithology coefficients and bit wear. Several new modeling features are introduced, these include "equivalent bit radius", "dynamic cutter action", "lithology coefficients" and "cutter wear". The model is applicable to all types of drag bits (Natural Diamond Bits (NDB), Polycrystalline Diamond Compact Bits (PDC) and any Geoset Bits) with correct cutter geometrical description. The model is useful for pre-planning, day to day and post drilling analysis, as well as drilling optimization. Application of the model to evaluate drag-bit performance has shown good results in several lab and field cases. The advantages of this model include, optimization of operating parameters, optimization of bit parameters and support of a total drilling system for penetration rate, solids control and hydraulics optimization. In addition, use of the model is simple and straight forward, data requirements are standard and readily available. Lithology coefficients can be obtained from lab data or one set of drill-off and/or bit performance test in the field. Penetration rates can be predicted by the model for different lithologiεs using rock strengths obtained from offset drilling or log data. In other words, the model will predict penetration rate for any set of operating conditions, formation description and bit parameters.
Summary This paper uses a three-dimensional three stress layer hydraulic fracturing model in conjunction with a fractured reservoir production model to optimize hydraulic fracture design. The hydraulic fracturing model has varying widths along the fracture and has the option to choose constant, linear or parabolic fracture height growth criterion. The fracturing fluid rheology is modeled with a non-Newtonian pressure loss model in the fracture, with the special case being the Newtonian model. The fractured reservoir production model uses an equation formulated from a work by Guo and Evans1,2. In this paper the specific reservoir properties were taken from a tight gas sandstone section of the Mesa Verde formation in Colorado3. It should be noted that the fracturing and production of any oil or gas reservoir can be simulated with this procedure. The fracturing parameters optimized in this paper are fracture length and fracturing fluid pump rate. The economics show that this optimization approach has great promise and that it can predict net revenue.
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
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.