1-20 of 75
Keywords: prediction
Close
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles
SPE Drill & Compl 37 (01): 93–103.
Paper Number: SPE-196179-PA
Published: 09 March 2022
... pressure buildup base-oil density spe drilling modeling prediction apb estimate scenario In subsea wells, there is limited access to the wellhead unlike onshore wells, that is, only the tubing string and inner “A” annulus have access for monitoring and controlling the pressures ( Bourgoyne et...
Journal Articles
SPE Drill & Compl (2021)
Paper Number: SPE-199563-PA
Published: 15 December 2021
..., as a function of pressure and temperature. It compares theoretical predictions with the results of tests on brines used in our industry and available test data from the oil and gas and other industries. In 1987, Kemp and Thomas used the principles of chemical thermodynamics to develop equations for the density...
Journal Articles
SPE Drill & Compl 36 (04): 849–867.
Paper Number: SPE-205480-PA
Published: 15 December 2021
... these and other ML techniques to predict the rate of penetration (ROP), differential pipe sticking (DPS), drillstring vibration, or other drilling events. Prediction of rheological properties of drilling fluids and estimation of the formation properties was performed in 22% of the publications reviewed. Some...
Journal Articles
SPE Drill & Compl 36 (04): 832–848.
Paper Number: SPE-204442-PA
Published: 15 December 2021
... for optimizing wellbore cleanout in horizontal and inclined wells. The new CTV model is established to predict the initiation of bed particle movement during cleanout operations. The model is formulated considering the impact of fiber using a special drag coefficient (i.e., fiber drag coefficient), which...
Journal Articles
SPE Drill & Compl 36 (04): 913–930.
Paper Number: SPE-205372-PA
Published: 15 December 2021
... drilling fluids and materials production monitoring production logging drilling operation friction factor prediction upstream oil & gas correlation geometry turbulent flow reynolds number flow-behavior index experimental data december 2021 drilling fluid formulation eccentricity...
Journal Articles
SPE Drill & Compl 36 (03): 613–627.
Paper Number: SPE-199557-PA
Published: 08 September 2021
... inception loads predicted by the model are compared against the analytical equation of critical buckling loads. A field extended reach drilling (ERD) job was simulated by the model. The downhole weight and torque data from the measurement-while-drilling (MWD) tool was used to validate the weight transfer...
Journal Articles
SPE Drill & Compl 36 (01): 29–46.
Paper Number: SPE-202481-PA
Published: 17 March 2021
...Danial Etesami; Mehrdad G. Shirangi; W. J. Zhang Summary In this paper, we present an accurate semiempirical rate of penetration (ROP) predictive model for polycrystalline diamond compact (PDC) bits. Our model is inspired by the model of Bourgoyne and Young (B&Y) and follows an exponential form...
Journal Articles
SPE Drill & Compl 35 (02): 191–200.
Paper Number: SPE-199881-PA
Published: 11 June 2020
...Juan P. Morales-Salazar; Fernando Samaniego-Verduzco; Mario G. García-Herrera Summary A new pore‐pressure prediction equation for carbonate formations was developed following the compressibility method previously known. The main goal of this research was motivated by the lack of specialized...
Journal Articles
SPE Drill & Compl 33 (03): 220–229.
Paper Number: SPE-191143-PA
Published: 13 September 2018
... of the incremental plasticity theory and the principle of virtual work. It is shown that predictions with the algorithm correlate well with experimental results. 18 5 2017 7 3 2018 2 3 2018 15 6 2018 13 9 2018 Copyright 2018, Society of Petroleum Engineers curvature wall...
Journal Articles
SPE Drill & Compl 32 (03): 184–193.
Paper Number: SPE-178888-PA
Published: 14 September 2017
...Kent Salminen; Curtis Cheatham; Mark Smith; Khaydar Valiullin Summary A real-time method is presented to predict impending stuck pipe with sufficient warning to prevent it. The new method uses automated analysis of real-time modeling coupled with real-time data analysis. It can be applied to all...
Journal Articles
SPE Drill & Compl 32 (04): 245–254.
Paper Number: SPE-178860-PA
Published: 25 May 2017
... to validate computational predictions. It is shown that the experimental results form an important basis for tuning the software model to fit the thermodynamic properties of gas-loaded drilling fluid at HP/HT conditions. Table 1 Properties of drilling fluids and BOs. OBDF OBDF Density, Standard...
Journal Articles
SPE Drill & Compl 32 (01): 51–58.
Paper Number: SPE-173681-PA
Published: 26 January 2017
... into several ranges on the basis of their sensitivity to cuttings concentration in the wellbore. A series of charts is obtained by running a hole-cleaning simulator, which is based on a large number of experimental and modeling studies of cuttings transport. The difference between the charts’ prediction...
Journal Articles
SPE Drill & Compl 31 (01): 026–039.
Paper Number: SPE-169527-PA
Published: 22 December 2015
... rheological response of the fluid. Hence, all readings obtained from the viscometers can provide valuable input for the hydraulic model. Also, the numerical solution is stable and straightforward to implement. The model provides drilling engineers a simple and powerful method to accurately predict...
Journal Articles
SPE Drill & Compl 30 (03): 198–211.
Paper Number: SPE-176034-PA
Published: 25 August 2015
..., the Eaton (1972) method with an exponent of 3 gives good prediction when overpressure is the result of the compaction-disequilibrium mechanism, but it underpredicted the high pore pressure where the fluid-expansion mechanism is also present. However, by use of a higher Eaton exponent of 5 for the fluid...
Journal Articles
SPE Drill & Compl 29 (04): 418–430.
Paper Number: SPE-173179-PA
Published: 03 December 2014
...K.S.. S. Hansen; G.. Wang; O.. Adeleye; K.V.. V. McNeil; B.A.. A. Couzens-Schultz; K.. Azbel; M.. Sarfare; U.. Tare Summary Pore-pressure (PP) and fracture-gradient (FG) predictions were prepared for Prelude development wells in the Browse basin in offshore northwest Australia. The PP forecasts...
Journal Articles
SPE Drill & Compl 29 (03): 279–294.
Paper Number: SPE-163566-PA
Published: 24 September 2014
.... Four field case studies are presented for horizontal wells. One well is short radius with dogleg severity greater than 50°/100 ft, and three wells are unconventional shale wells with doglegs up to 15°/100 ft. Predictions for surface T&D up/down for the new dynamic stiff-string model are compared...
Includes: Supplementary Content
Journal Articles
SPE Drill & Compl 29 (02): 256–264.
Paper Number: SPE-166592-PA
Published: 12 June 2014
... connector deflection boundary condition formulation sinusoidal Result show formation stiffness experiment drillpipe Lubinski drillstring design drilling operation sinusoidal-buckling load prediction tool joint wellbore spe drilling university of tulsa To increase the rate...
Journal Articles
SPE Drill & Compl 28 (04): 326–337.
Paper Number: SPE-164916-PA
Published: 20 November 2013
... these variabilities may introduce some error in the model prediction, resulting in poor well planning and implementation. The purpose of this work is to implement probabilistic modeling of underbalanced drilling by use of a simple steady-state two-phase model. Both predefined uncertain and fixed factors serve...
Journal Articles
SPE Drill & Compl 27 (04): 574–585.
Paper Number: SPE-138938-PA
Published: 28 November 2012
...Freddy Crespo; Ramadan Ahmed; Majed Enfis; Arild Saasen; Mahmood Amani Summary Surge and swab pressures have been known to cause formation fracture, lost circulation, and well-control problems. Accurate prediction of these pressures is crucially important in estimating the maximum tripping speeds...
Journal Articles
SPE Drill & Compl 27 (04): 586–595.
Paper Number: SPE-163062-PA
Published: 21 November 2012
..., statistical methods were applied in this area, but recently artificial neural network (ANN) approaches are frequently being used. ANNs have some priorities over conventional statistical methods such as the model-free form of predictions, tolerance to data errors, data-driven nature, and fast computation...

Product(s) added to cart

Close Modal