University of Texas of the Permian Basin

1993 ◽  
Vol 1993 (82) ◽  
pp. 89-104
Author(s):  
V. Ray Cardozier
2021 ◽  
Vol 1 (1) ◽  
pp. 68-91
Author(s):  

At semester’s end at the University of Texas at El Paso and at the University of Texas of the Permian Basin, faculty members directing the PLTL Programs invite Peer Leaders to reflect on their experience, to describe their challenges, and to offer their personal advice. For the benefit of future Peer Leaders, here are their stories, reflections, observations, and advice about leadership and the practice of leading.


2017 ◽  
Vol 9 (6) ◽  
pp. 156
Author(s):  
Sophia Wang

Journal of Mathematics Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal is greatly appreciated.Many authors, regardless of whether Journal of Mathematics Research publishes their work, appreciate the helpful feedback provided by the reviewers.Reviewers for Volume 9, Number 6 Cinzia Bisi, Ferrara University, ItalyGuy Biyogmam, Georgia College & State University, USAJalal Hatem, Baghdad University, IraqKong Liang, University of Illinois at Springfield, USAKuldeep Narain Mathur, University Utara Malaysia, MalaysiaMaria Alessandra Ragusa, University of Catania, ItalyMaria Cecília Santos Rosa, Instituto Politecnico da Guarda, PortugalMohammad A. AlQudah, German Jordanian University, JordanN. V. Ramana Murty, Andhra Loyola College, IndiaRami Ahmad El-Nabulsi, Athens Institute for Education and Research, GreeceSanjib Kumar Datta, University of Kalyani, IndiaShenghua Ni, Vanderbilt University Medical Center, USAXinyun Zhu, University of Texas of the Permian Basin, USAYaqin Feng, Ohio University, USAYifan Wang, University of Houston, USAYoussef El-Khatib, United Arab Emirates University, United Arab Emirates Sophia WangOn behalf of,The Editorial Board of Journal of Mathematics ResearchCanadian Center of Science and Education


2021 ◽  
Vol 73 (04) ◽  
pp. 46-47
Author(s):  
Chris Carpenter

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 201346, “Are We Overstimulating Our Laterals? Evaluating Completion Design Practices Based on Field Offset Well-Pressure Measurements,” by Puneet Seth, SPE, The University of Texas at Austin, and Brendan Elliott, SPE, and Trevor Ingle, SPE, Devon Energy, et al., prepared for the 2020 SPE Annual Technical Conference and Exhibition, originally scheduled to be held in Denver, Colorado, 5–7 October. The paper has not been peer reviewed. Increased injection volumes coupled with a suboptimal completion design can lead to overstimulation at current well-spacing densities. In the complete paper, the authors analyze offset well-pressure measurements in the Permian Basin to evaluate if a fracturing job is overstimulated. Additionally, numerical modeling studies are performed to evaluate the extent of overstimulation in different scenarios and provide recommendations to maximize the capital efficiency of a fracturing job. In their analysis, the authors focus on the scenario in which fracturing hits occur when child-well fractures intersect with the parent well. Field Data Analysis Pumping for the full designed volume and time (typically 90 minutes) according to well-stimulation procedures is currently common in the industry. Often, the observation of hydraulic interactions is not coupled with a decision to alter or change the stimulation. The authors analyzed the offset well-pressure response monitored with a surface pressure gauge in multiple parent wells in the Permian Basin during stimulation in nearby child wells. The child wells were stimulated after roughly 1 year of production from the parent wells. The focus of this study was to identify fracture-driven interactions—specifically the timing of intersection of the child-well fractures with the offset parent wells, which are recorded as massive hydraulic pressure responses. The results of this analysis for different well pairs are presented in the complete paper. To better understand the factors that affect fracture propagation from the child wells toward the parent wells, fracture arrival times, and capital efficiency of a fracturing job, a series of numerical simulations was performed with a fully coupled hydraulic fracturing simulator. Simulation Results Numerical simulations were performed using an integrated hydraulic fracturing and reservoir simulator developed at The University of Texas at Austin. This simulator solves for flow and geomechanics in the reservoir, fracture, and wellbore domains in a tightly coupled manner. Hydraulic fractures are modeled as compliant discontinuities in the reservoir rather than high-permeability gridblocks. This is important in order to capture the stress alterations around a propagating fracture accurately. Effect of Parent-Well Production (Depleted Region). For this study, two scenarios were analyzed. In the first case, fracture propagation from a child well stimulated near a recently fractured unproduced parent well (no depletion) was considered. In this case, the fracture from the child well propagates away from the parent well because of elevated stresses near the parent well. In the second case, a child well is stimulated near a parent well that has been producing for 300 days before child-well stimulation. In this scenario, the child-well fracture propagates toward the parent well because of a depleted region that develops near the parent well (because of production) and relaxes the reservoir stresses around the parent well. This causes the child-well fracture to grow preferentially toward the parent well (toward the low-stress region). In fact, in this scenario, as the fracture reaches the depleted reservoir region, its growth accelerates toward the parent well and intersects with the parent well. Even minor depletion can induce asymmetric growth of infill child-well fractures toward the parent well.


1999 ◽  
Vol 39 (4) ◽  
pp. 510
Author(s):  
Katherine C. Reynolds ◽  
V. R. Cardozier

2021 ◽  
Vol 1 (1) ◽  
pp. 55-67
Author(s):  
A.E Dreyfuss ◽  
◽  
Ana Fraiman ◽  
Milka Montes ◽  
Reagan Hudson ◽  
...  

Peer-led workshops in General Chemistry at the University of Texas Permian Basin (UTPB) were affected by COVID-19 restrictions during the 2020-2021 academic year. Most Peer-Led Team Learning (PLTL) workshops were conducted in person, but with the difference that protocols of distancing had to be observed, and a few were conducted online, so adjustments were necessary to prepare Peer Leaders to conduct their workshops in both types of settings. The facets of the modified PLTL program were supported by the online preparation for facilitation and chemistry content The results of an examination of critical incidents (Brookfield, 1995) are shared here. This qualitative examination of Peer Leaders’ experiences was undertaken because of its exploration of formative events. Through the responses to several rounds of questions about their experiences, Peer Leaders acknowledged the reality of dealing with Covid-19 restrictions as well as their preparation via a weekly online seminar. This paper, co-authored with Peer Leaders, examines the process of online training and facilitating workshops during the Fall 2020 and Spring 2021 semesters at UTPB.


2018 ◽  
Vol 10 (4) ◽  
pp. 175
Author(s):  
Sophia Wang

Journal of Mathematics Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal is greatly appreciated.Many authors, regardless of whether Journal of Mathematics Research publishes their work, appreciate the helpful feedback provided by the reviewers.Reviewers for Volume 10, Number 4 Abdessadek Saib, University of Tebessa, AlgeriaAli Berkol, Space and Defense Technologies & Baskent University, TurkeyAmjad Salari, Razi University, IranCecilia Maria Fernandes Fonseca, Polytechnic of Guarda, PortugalChung-Chuan Chen, National Taichung University of Education, TaiwanFerit Gürbüz, Hakkari University, TurkeyGane Sam Lo, Universite Gaston Berger de Saint-Louis, SenegalGener Santiago Subia, NUeva Ecija University of Science and Technology, PhilippinesHayat REZGUI, Ecole normale Supérieure de Kouba, AlgeriaJalal Hatem, Baghdad University, IraqKong Liang, University of Illinois at Springfield, USALiwei Shi, China University of Political Science and Law, ChinaMarek Brabec, Academy of Sciences of the Czech Republic, Czech RepublicMaria Alessandra Ragusa, University of Catania, ItalyPredrag Stanimirovic, University of Nis, SerbiaRaimundo Nonato Araújo dos Santos, USP-ICMC, BrazilRami Ahmad El-Nabulsi, Athens Institute for Education and Research, GreeceSanjib Kumar Datta, University of Kalyani, IndiaSergiy Koshkin, University of Houston Downtown, USAVinodh Kumar Chellamuthu, Dixie State University, USAVishnu Narayan Mishra, Indira Gandhi National Tribal University, IndiaXingbo WANG, Foshan University, ChinaXinyun Zhu, University of Texas of the Permian Basin, USAYaqin Feng, Ohio University, USAYoussef El-Khatib, United Arab Emirates University, United Arab Emirates  Sophia WangOn behalf of,The Editorial Board of Journal of Mathematics ResearchCanadian Center of Science and Education


2019 ◽  
Vol 11 (6) ◽  
pp. 93
Author(s):  
Sophia Wang

Journal of Mathematics Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal is greatly appreciated. Many authors, regardless of whether Journal of Mathematics Research publishes their work, appreciate the helpful feedback provided by the reviewers. Reviewers for Volume 11, Number 6   Abimbola Abolarinwa, Landmark University, Nigeria Cibele Cristina Trinca Watanabe, Federal University of Tocantins (UFT), Brazil Denis Khleborodov, Lomonosov Moscow State University, Russia Francisco Bulnes, Research Department in Mathematics and Engineering, TESCHA, Mexico Gabriela Ciuperca, University Lyon 1, France Gane Sam Lo, Universite Gaston Berger de Saint-Louis, Senegal Gener Santiago Subia, Wesleyan University, Philippines Jalal Hatem, Baghdad University, Iraq Maria Alessandra Ragusa, University of Catania, Italy Martin Anokye, University of Cape Coast, Ghana Mashadi Ali, Riau University, Indonesia Meltem Erden Ege, Manisa Celal Bayar University, Turkey Mohammad A. AlQudah, German Jordanian University, Jordan Mohammad Sajid, Qassim University, Saudi Arabia Mustapha El Moudden, Moulay Ismail University, Morocco Omur Deveci, Kafkas University, Turkey Özen ÖZER, Kirklareli University, Turkey Philip Yordanoff Philipoff, Bulgarian Academy of Sciences, Bulgaria Rami Ahmad El-Nabulsi, Athens Institute for Education and Research, Greece Rosalio G. Artes, Jr., Mindanao State University, Philippines Sanjib Kumar Datta, University of Kalyani, India Sergiy Koshkin, University of Houston Downtown, USA Vishnu Narayan Mishra, Indira Gandhi National Tribal University, India Xinyun Zhu, University of Texas of the Permian Basin, USA   Sophia Wang On behalf of, The Editorial Board of Journal of Mathematics Research Canadian Center of Science and Education


2019 ◽  
Vol 11 (4) ◽  
pp. 86
Author(s):  
Sophia Wang

Journal of Mathematics Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal is greatly appreciated. Many authors, regardless of whether Journal of Mathematics Research publishes their work, appreciate the helpful feedback provided by the reviewers. Reviewers for Volume 11, Number 4   Abimbola Abolarinwa, Landmark University, Nigeria Ahmed Saad Rashed, Zagazig University, Egypt Cibele Cristina Trinca Watanabe, Federal University of Tocantins (UFT), Brazil Cinzia Bisi, Ferrara University, Italy Denis Khleborodov, Lomonosov Moscow State University, Russia Gener Santiago Subia, NUeva Ecija University of Science and Technology, Philippines Hayat REZGUI, Ecole normale Supérieure de Kouba, Algeria Jalal Hatem, Baghdad University, Iraq Liwei Shi, China University of Political Science and Law, China Maria Alessandra Ragusa, University of Catania, Italy Martin Anokye, University of Cape Coast, Ghana Mashadi Ali, Riau University, Indonesia Mohammad A. AlQudah, German Jordanian University, Jordan N. V. Ramana Murty, Andhra Loyola College, India Özgür Ege, Ege University, Turkey Philip Yordanoff Philipoff, Bulgarian Academy of Sciences, Bulgaria Rami Ahmad El-Nabulsi, Athens Institute for Education and Research, Greece Rovshan Bandaliyev, National Academy of Sciences of Azerbaijan, Azerbaijan Sanjib Kumar Datta, University of Kalyani, India Sergiy Koshkin, University of Houston Downtown, USA Shenghua Ni, Vanderbilt University Medical Center, USA Vishnu Narayan Mishra, Indira Gandhi National Tribal University, India Xingbo WANG, Foshan University, China Xinyun Zhu, University of Texas of the Permian Basin, USA Zoubir Dahmani, University of Mostaganem, Algeria   Sophia Wang On behalf of, The Editorial Board of Journal of Mathematics Research Canadian Center of Science and Education


2021 ◽  
Vol 73 (06) ◽  
pp. 31-33
Author(s):  
Blake Wright

As industry buzzwords go, “automation” has spent its time in oilfield vernacular climbing the ranks of widely used terms. It now resides as one of the go-to designations for signs of advancement in any number of disciplines. Its use has been tied most frequently with drilling operations as contractors look to keep employees out of harm’s way via a robotic take-over of most motion-intensive jobs on the rig’s drill floor—basically anything that grips, clamps, or spins. More recently, the term has moved away from the drill floor and into other well construction operations allowing for things such as remote, real-time measurements without the need for boots on the ground. For areas like west Texas and the Permian Basin shales, having the option for remote readouts and a component of automation that can allow for corrective actions should the need arise can go a long way in terms of safety and efficiency gains as well as better manpower application. Unsurprisingly, the area has become a solid testing ground for new, expanding efforts in automation. With dreams of new drilling-fluid-monitoring automation, Eric van Oort, a professor at The University of Texas at Austin and former Shell research scientist, and select students came up with a new way to automatically measure mud parameters such as viscosity without the use of a traditional viscometer. “The fact that we still use manual measurements, some of them now 90 years old, is quite puzzling in this day and age,” van Oort said. “The Marsh funnel, for instance, was introduced in the 1930s, and other mud tests go back to the 1950s and 1960s. These API measurements have served us well, but the question is, can you do something more now with modern measurement techniques and sensors? So, I started working on new ways of measuring the viscosity and density, and then later fluid loss and even solids and salinity in muds. That proved to be all very successful and promising.” Construction of a mud skid to house the equipment and sensors needed to conduct these tests in real time was the next step in the evolution of van Oort’s concept. That initial skid was a cannibalized and reworked version of a unit that was employed on Shell’s Rig 1, which the supermajor built for its in-house rig-automation research based in Pennsylvania. This early mud skid, considered the prototype of van Oort’s design, was abandoned before it was properly tested. “We generated quite a bit of IP [intellectual property], my students and I at UT,” he said. “The Shell skid hadn’t seen a significant amount of service, and it had some nice components that we could reuse. We took that skid apart and reconfigured it and put it out in the field with Pioneer Natural Resources for a set of field trials in the Permian. Those went well.” The field trial results were shared in a paper presented at the 2019 Unconventional Resources Technology Conference (URTEC 2019-964). The paper concluded that the pipe viscometer employed by the skid allows for the characterization of additional rheology parameters, which cannot be obtained with Couette-type viscometers, such as the critical Reynolds number, characterizing the transition from laminar into turbulent flow, and the friction factor in the turbulent flow regime.


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