Engineering dynamics is the study of motion, but textbooks and chalkboards, the traditional classroom teaching tools, cannot show that motion. Mechanical models are helpful, but relatively inflexible; they are qualitative, not quantitative. Since July 1992, personnel from the University of Missouri‐Rolla have been developing and classroom testing “BEST”* (Basic Engineering Software for Teaching) Dynamics with the goal of improving the teaching and learning of engineering dynamics. About forty‐five different problem simulations, representing a selection of typical kinematics and kinetics problems for both particles and rigid bodies, have been completed. These problems enable the user to vary inputs to view a wide variety of configurations and behavior. Students using “BEST” Dynamics have reported improved ability to visualize motion, and somewhat improved problem solving ability. Recent work has focused on adding, to some of the problems, “Solutions” which give detailed support in writing and solving equations. This paper will introduce the reader to “BEST” Dynamics and its classroom use. It will also provide some philosophical commentary on the applicability of instructional software to the problem‐solving‐oriented engineering classroom.

Gas storage and flow behavior in the shale gas rocks are complex and hard to identify by conventional core analysis. This study integrates clustering analysis techniques from material science, petrophysics, and petrology to characterize North American shale gas samples from Utica, Haynesville, and Fayetteville shale gas plays. High pressure (up to 60,000 psi) mercury porosimetry analysis (MICP) determined the pore size distributions. A robust, detailed tomography procedure using a dual-beam (Scanning Electron Microscope and Focused Ion Beam, also called SEM-FIB) instrument successfully characterized the submicron-pore structures. SEM images revealed various types of porosities. Pores on a scale of nanometers were found in organic matter; they occupy 40−50% of the kerogen body. Two-hundred two-dimensional SEM images were collected and stacked to reconstruct the original pore structure in a three-dimensional model. The model provided insights into the petrophysical properties of shale gas, including pore size distribution, porosity, tortuosity, and anisotropy. This paper presents the pore model constructed from Fayetteville shale sample. The work used X-ray diffraction (XRD) to semi-quantify shale gas clay and non-clay minerals. The Haynesville and Utica (Indian Castle formation) shale samples have a high illite content. The Utica (Dolgeville formation) shale samples show high calcium carbonate (calcite) content. Moreover, wettability tests were performed on the shale samples, and the effect of various fracturing fluid additives on their wettability was tested. Most additives made the shale gas surfaces hydrophilic-like (water-wet).

Computers afford opportunities for creative instructional activities that are not possible in the traditional lecture-and-textbook class format. Two computer-based interactive games for engineering statics are described in this study. These games are designed to foster proficiency and confidence in narrowly defined but essential topics through the use of repetition and carefully constructed levels of difficulty. The game format provides students with a learning structure and an incentive to develop skills at their own pace in a nonjudgmental but competitive and often fun environment. Quantitative and qualitative assessments of both games revealed that: (a) students' quantitative ratings and comments were consistently positive; (b) students who used the games scored significantly higher on quizzes over the subject material than those who learned via traditional lecture; and (c) students rated the games as significantly more effective than the textbook as an aid for learning the material. Materials presented in this article are available at

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Oil/gas exploration, drilling, production, and reservoir management are challenging these days since most oil and gas conventional sources are already discovered and have been producing for many years. That is why petroleum engineers are trying to use advanced tools such as artificial neural networks (ANNs) to help to make the decision to reduce non-productive time and cost. A good number of papers about the applications of ANNs in the petroleum literature were reviewed and summarized in tables. The applications were classified into four groups; applications of ANNs in explorations, drilling, production, and reservoir engineering. A good number of applications in the literature of petroleum engineering were tabulated. Also, a formalized methodology to apply the ANNs for any petroleum application was presented and accomplished by a flowchart that can serve as a practical reference to apply the ANNs for any petroleum application. The method was broken down into steps that can be followed easily. The availability of huge data sets in the petroleum industry gives the opportunity to use these data to make better decisions and predict future outcomes. This paper will provide a review of applications of ANNs in petroleum engineering as well as a clear methodology on how to apply the ANNs for any petroleum application.