INTEGRATED DRILLING SYSTEM USING MUD ACTUATED DOWN HOLE HAMMER AS PRIMARY ENGINE

A history and project summary of the development of an integrated drilling system using a mud-actuated down-hole hammer as its primary engine are given. The summary includes laboratory test results, including atmospheric tests of component parts and simulated borehole tests of the hammer system. Several remaining technical hurdles are enumerated. A brief explanation of commercialization potential is included. The primary conclusion for this work is that a mud actuated hammer can yield substantial improvements to drilling rate in overbalanced, hard rock formations. A secondary conclusion is that the down-hole mud actuated hammer can serve to provide other useful down-hole functions including generation of high pressure mud jets, generation of seismic and sonic signals, and generation of diagnostic information based on hammer velocity profiles

Conference Rubric Development for STEM Librarians’ Publications

Librarians within the Engineering Libraries Division (ELD) annually publish conference papers for the American Society for Engineering Education (ASEE). The existing ASEE rubric was not sufficient for our members, so we developed a new rubric as a charged committee for this task. We briefly discuss the sparse literature in this area, focusing on the use of rubrics and the rationale behind them. Due to this lack of literature, our committee primarily utilized additional sources such as rubrics found from other professional organizations in STEM and library fields. Our rubric is designed to encourage substantive feedback and growth of authors during the process, while clarifying the expectations for submissions. This rubric consists of overall guidance and specific needs, with flexibility for the different research methods and applications expected (i.e. work-in-progress/completed research, quantitative/qualitative, etc.). We implemented this rubric successfully for the 2021 conference cycle, but will further refine it as needed, based on feedback following future conferences. With scarce literature on conference peer review, we hope by sharing our work, others may also consider and improve their organizations’ processes

Development and Testing of a Jet Assisted Polycrystalline Diamond Drilling Bit. Phase II Development Efforts

Phase II efforts to develop a jet-assisted rotary-percussion drill bit are discussed. Key developments under this contract include: (1) a design for a more robust polycrystalline diamond drag cutter; (2) a new drilling mechanism which improves penetration and life of cutters; and (3) a means of creating a high-pressure mud jet inside of a percussion drill bit. Field tests of the new drill bit and the new robust cutter are forthcoming

Final Report: Very Low Friction Small Radius Dome Cutters for Percussion Bits - Phase II Development Efforts, April 1, 1997 - September 1, 1999

Phase II efforts to develop very low friction (polished) small radius cutters for drill bits are discussed. Key developments under this contract include: (1) improvements to robustness of polycrystalline diamond coatings enabling their use on sharper cutter shapes; (2) polishable coating materials which exhibit improved polish retention; and (3) a means of polishing a non-planar polycrystalline diamond surface economically. Field tests have shown acceptability of new small radius cutters, but have yet to show benefits of polishing. Further field tests are planned

VERY HIGH-SPEED DRILL STRING COMMUNICATIONS NETWORK

Testing of a high-speed digital data transmission system for drill pipe is described. Passive transmission of digital data through 1000 ft of telemetry drill pipe has been successfully achieved. Data rates of up to 2 Mbit/sec have been tested through the 1000 ft system with very low occurrence of data errors: required error correction effort is very low or nonexistent. Further design modifications have been made to improve manufacturability and high pressure robustness of the transmission line components. Failure mechanisms of previous designs at high pressure and high temperature are described. Present design limitations include high temperature application

Multiplicativity of the Double Ramification Cycle

The double ramification cycle satisfies a basic multiplicative relation DRCa⋅DRCb=DRCa⋅DRCa+b over the locus of compact-type curves, but this relation fails in the Chow ring of the moduli space of stable curves. We restore this relation over the moduli space of stable curves by introducing an extension of the double ramification cycle to the small b-Chow ring (the colimit of the Chow rings of all smooth blowups of the moduli space). We use this to give evidence for the conjectured equality between the (twisted) double ramification cycle and a cycle Pd,kg(A) described by the second author in [\textit{F. Janda} et al., Publ. Math., Inst. Hautes Étud. Sci. 125, 221--266 (2017; Zbl 1370.14029)].ISSN:1431-0635ISSN:1431-064

A Statistical Learning Approach to Personalization in Revenue Management

We consider a logit model-based framework for modeling joint pricing and assortment decisions that take into account customer features. This model provides a significant advantage when one has insufficient data for any one customer and wishes to generalize learning about one customer’s preferences to the population. Under this model, we study the statistical learning task of model fitting from a static store of precollected customer data. This setting, in contrast to the popular learning and earning paradigm, represents the situation many business teams encounter in which their data collection abilities have outstripped their data analysis capabilities. In this learning setting, we establish finite-sample convergence guarantees on the model parameters. The parameter convergence guarantees are then extended to out-of-sample performance guarantees in terms of revenue, in the form of a high-probability bound on the gap between the expected revenue of the best action taken under the estimated parameters and the revenue generated by a decision maker with full knowledge of the choice model. We further discuss practical implications of these bounds. We demonstrate the personalization approach using ticket purchase data from an airline carrier. This paper was accepted by J. George Shanthikumar, special issue on data-driven prescriptive analytic