Simple structure descriptors quantifying the diffusion of ethene in small-pore zeolites: Insights from molecular dynamic simulations

Small-pore zeolites with 8-rings are pivotal catalytic materials to produce light olefins from non-petroleum resources employing methanol-to-olefins or syngas-to-olefins processes. The constraints of cage openings on the diffusion of light...

Renewable Energy as a Catalyst for Equity? Integrating Inuit Interests With Nunavik Energy Planning

Nunavik’s residents experience significant social and environmental disruptions due to climate change. These disruptions add to the widespread changes that the Inuit have encountered over the last century—changes that have left this community totally dependent on fossil fuels for heat and power. Over time, Nunavik’s residents have taken control of petroleum resources and their distribution, transforming this energy source into a major regional economic asset. Recently, there has been a transition towards renewable energy technologies (RETs) in Nunavik. However, are these alternative sources of energy appealing to local residents? This article explores the potential of RETs through the lens of procedural and substantive equity in the context of Inuit interests and integrated sustainability. Based on informal discussions with Inuit residents, interviews with stakeholders of the energy transition in Nunavik, and a literature analysis, this article presents two main results: (1) The level of substantive equity depends mainly on the type of RET and on idiosyncrasies between communities, and (2) local governance and procedural equity need to be asserted so that RETs can become true catalysts for equity.

Integrated Cloud Computing Environment for Upstream Geoscience Workflows

Extensive computing resources are required to leverage todays advanced geoscience workflows that are used to explore and characterize giant petroleum resources. In these cases, high-performance workstations are often unable to adequately handle the scale of computing required. The workflows typically utilize complex and massive data sets, which require advanced computing resources to store, process, manage, and visualize various forms of the data throughout the various lifecycles. This work describes a large-scale geoscience end-to-end interpretation platform customized to run on a cluster-based remote visualization environment. A team of computing infrastructure and geoscience workflow experts was established to collaborate on the deployment, which was broken down into separate phases. Initially, an evaluation and analysis phase was conducted to analyze computing requirements and assess potential solutions. A testing environment was then designed, implemented and benchmarked. The third phase used the test environment to determine the scale of infrastructure required for the production environment. Finally, the full-scale customized production environment was deployed for end users. During testing phase, aspects such as connectivity, stability, interactivity, functionality, and performance were investigated using the largest available geoscience datasets. Multiple computing configurations were benchmarked until optimal performance was achieved, under applicable corporate information security guidelines. It was observed that the customized production environment was able to execute workflows that were unable to run on local user workstations. For example, while conducting connectivity, stability and interactivity benchmarking, the test environment was operated for extended periods to ensure stability for workflows that require multiple days to run. To estimate the scale of the required production environment, varying categories of users’ portfolio were determined based on data type, scale and workflow. Continuous monitoring of system resources and utilization enabled continuous improvements to the final solution. The utilization of a fit-for-purpose, customized remote visualization solution may reduce or ultimately eliminate the need to deploy high-end workstations to all end users. Rather, a shared, scalable and reliable cluster-based solution can serve a much larger user community in a highly performant manner.

Recent Research Activities in Solid and Liquid Bioenergy from Lignocellulosic Biomass

The increase in energy demand, the lack of petroleum resources, and concern over global climate change have placed great emphasis on the development of new alternative energy technologies that can be used to replace fossil transportation fuels (Himmel et al. 2007; Labbe et al. 2008; Lee et al. 2009a,b,c; Teramoto et al. 2008, 2009). In this context, many countries have initiated extensive research and development programs for bioenergy. Bioenergy can be classified into three kinds of solid, liquid, and gas bioenergy. For the effective production and utilization of these three types of bioenergy, different technologies are required (Figure 1). Lignocellulosic biomass, such as wood and agricultural residues, are widely distributed and easily accessible at relatively low costs. Of these, wood has the benefit of having a higher energy content per volume, lower ash content, and nitrogen content. In this review, recent research trends and advances in bioenergy from lignocellulosic biomass will be summarized from the author’s point of view.

The Overlooked Perils of Heterogeneous Oil and Gas

Chapter 2 details the differences and similarities among twenty-first-century petroleum resources and distinguishes conventional from unconventional resources. The chapter argues that, while these definitions are muddled, there is value to understanding and parsing unconventional oil and gas. Numerous different oil and gas resources are then surveyed, including shale gas, ultradeep gas, Arctic gas, tight gas, coalbed methane, biogas, acid gas, geopressurized gas, methane hydrates, condensates, light tight oil, extra-heavy oil, ultradeep oil, Arctic oil, depleted oil, kerogen, biofuels, gas-to-liquids, and coal-to-liquids. Estimates are provided of cumulative industry greenhouse gas emissions for conventional versus unconventional oil and gas resources. The chapter concludes with a discussion of hydrogen—the ultimate unconventional resource—and its production pathways.

Adapted Methodology for Evaluating EOR Reserves and Resources, Incorporated and Applied at an Oil and Gas Company

As other companies registered in the US stock market, the company reports oil and gas reserves, in compliance with the definitions of the Securities and Exchange Commission (SEC). In addition, it complies internally with the guidelines established by the Petroleum Resources Management System to certify its resources. The PRMS focuses on supporting consistent evaluation of oil resources based on technically sound industry practices, providing fundamental principles for the assessment and classification of oil reserves and resources, but does not provide specific guidance for the classification and categorization of quantities associated with IOR projects. Recently, the company has implemented EOR pilot projects, and their results seem to show commerciality for future development or expansion to new areas, displaying multiple opportunities and proposals to incorporate reserves and resources. So far, the pilot projects and their expansions have been addressed only from the point of view of incremental projects, as an improvement over the previous secondary recovery. The company does not have sufficient track record in booking reserves or resources from EOR projects, their quantities have been incorporated following bibliographic references and results of EOR projects with proven commerciality around the world. For this reason, the need arose to have a tool that provides the company with methodological criteria to evaluate the resources and reserves inherent in this type of project, that incorporate the "best practices" of the industry and that respect the guidelines and definitions of PRMS for incremental projects. That was how, the need to meet this challenging goal led company to develop its "EOR Resources and Reserves Assessment Guide" with the advice of a renowned consulting company. Although the Guide is not intended to be a review of the large body of existing IOR literature, it contains several useful references that serve as a starting point for understanding the IOR project for assessment process of resources and reserves. This document shows the process of development and implementation of the EOR guide, complementing the existing guides within the corporation and providing the company with a positive result within the internal processes of Audit, reserves and resources for this type of projects.

Reserves and Resources Management: A Continuous Improvement of the Business Processes

Managing oil and gas reserves and resources of Pertamina, an Indonesia state owned energy company, has always been challenging processes as the company's portfolio is sparsely located throughout Indonesia. Moreover, since November 2013 the company has also managed its international assets spread across three regions, namely Africa, Asia, and Middle East. In total, there are ~480 fields and ~870 geological structures with different degree of geological background, environment, uncertainty, and maturity of the fields/projects. Obviously, to cope with all those complexities, Reserves Management Department need to figure out its way to properly manage reserves and resources of the company. Reserves and resources of oil and gas is a key strategic priority of the company. It is aligned with both portfolio management and development and production of the assets. Company decision in terms of work program and budget is also mainly derived from reserves and resources potential of the projects. Therefore, to obtain a standardized reserves and resources management, the company has launched company guideline which is mainly influenced by SPE Petroleum Resources Management System (SPE-PRMS, 2007). SPE-PRMS is a project-based system, where reserves and resources estimation, categorization, and classification are on project basis. To properly manage all the projects, since 2019, Reserves Management Department introduced a tool named Project Box which enable reserves analyst to properly map all the projects, evaluate the portfolio, and monitor the progress of the project both in development and exploration phase. Furthermore, to be aligned with company's digitalization campaign, all the reserves and resources data, Project Box, and many other strategic information are stored and maintained in an in-house software named Promyst which will be launched in early 2021. This tool will enhance data accessibility for both management and analyst, increase data integrity and security, provide data analysis platform, moreover this software could also generate cost efficiency for the company. In 2017, along with the final version of the company guideline, the company has fully adapted PRMS. This paper will explain how the company adapt PRMS to its company guideline in which some necessary adjustments took place with respect to company's business processes, the application of Project Box throughout all company's subsidiaries, and implementation of Promyst along with its features and future projection of the software. The result and benefit of implementing those items will be explained in this paper. These extensive works performed by the Reserves Management Department contribute significantly to the company not only for technical but also for commercial aspects therefore promoting a good corporate strategic planning and decision making.

Detection of Trace Metal Contamination Around a Dumpsite in Iyara Area Warri Nigeria Using Geoelectrical and Geochemical Methods

Trace metal concentration in soils of Iyara area of Warri, Delta State was studied using geophysical and geochemical techniques. Eight vertical electrical sounding (VES) using SAS 1000 Terrameter with maximum current electrode spread of 150 m in the Schlumberger configuration was carried out. The geoelectric layers obtained are topsoil, clay, sand and fine-medium grained sand. The fine to medium grained sand of the third and fourth layers mainly constitute the aquifer with a depth ranging from 4.8 - 11.0 m. Soil samples were collected at three of the VES stations covering the dumpsite and stations away from the dumpsite. The trace metal content was higher than the maximum allowable levels in soils as specified by the World Health Organisation (WHO) and Department of Petroleum Resources of Nigeria (DPR) except for Pb with undetected concentration in VES 3, Mn with 135 mg/kg in VES 1 and undetected in VES 3 and VES 7. The Multiple pollution index, Enrichment factor, and Non-carcinogenic hazard decreases with increasing distance from the dumpsite. The soil around the dumpsite has been impacted and the results of this study will serve as background information for soil studies and groundwater development in the area.

Modeling the Chance of Commerciality of Petroleum Assets for Economic Development

The chance to discover hydrocarbon volumes of economic quantity diminishes with progressive discovery in explored basins. Given the preponderance of smaller deposits in extensively explored basins and the cost implications of discovering deposits less than the required Minimum Economic Reserves (MER), explorationists and investors in exploration activities need a framework to evaluate the chance of a successful petroleum resources discovery to minimize the risk of unsuccessful exploration. This study develops a new framework to evaluate the chance of discovery of at least a minimum economic reserves volume in an extensively explored basin. It leverages on the postulation for the determination of probability of hydrocarbon economic success as a building block for the new framework. The model combines the concepts of Minimum Economic Reserves, Discovery Efficiency and Probability to derive an explicit analytical function for discovery efficiency and hydrocarbon probability for a commercial discovery. It digitalizes existing Risk Table to ease the complexity to obtain geological chance of success and hydrocarbon asset evaluation for commerciality. Nine Case studies from the prolific Niger Delta basin of Nigeria are used to validate the model. The result of the semi-digital solution of the model shows that three of the studied cases are commercial whereas the remaining six cases are sub-commercial. The study recommends the application of the new framework for hydrocarbon asset evaluation for chance of commerciality to complement models like the cream off curve to predict chance of commercial discovery of hydrocarbon assets.

An Integrated Workflow for Reserves Evaluation in the U.S. Permian Basin Based on SPEE Monograph 3

In 2011, the Society of Petroleum Evaluation Engineers (SPEE) published Monograph 3 as an industry guideline for reserves evaluation of unconventionals, especially for probabilistic approaches. This paper illustrates the workflow recommended by Monograph 3. The authors also point out some dilemmas one may encounter when applying the guidelines. Finally, the authors suggest remedies to mitigate limitations and improve the utility of the approach. This case study includes about 300 producing shale wells in the Permian Basin. Referring to Monograph 3, analogous wells were identified based on location, geology, drilling-and-completion (D&C) technology; Technically Recoverable Resources (TRRs) of these analogous wells were then evaluated by Decline Curve Analysis (DCA). Next, five type-wells were developed with different statistical characteristics. Lastly, a number of drilling opportunities were identified and, consequently, a Monte Carlo simulation was conducted to develop a statistical distribution for undeveloped locations in each type-well area. The authors demonstrated the use of probit plots and demonstrated the binning strategy, which could best represent the study area. The authors tuned the binning strategy based on multiple yardsticks, including median values of normalized TRRs per lateral length, slopes of the distribution lines in lognormal plots, ratios of P10 over P90, and well counts in each type-well category in addition to other variables. The binning trials were based on different geographic areas, producing reservoirs, and operators, and included the relatively new concept of a "learning curve" introduced by the Society of Petroleum Engineers (SPE) 2018 Petroleum Resources Management System (PRMS). To the best of the authors’ knowledge, this paper represents the first published case study to factor in the "learning curves" method. This paper automated the illustrated workflow through coded database queries or manipulation, which resulted in high efficiencies for multiple trials on binning strategy. The demonstrated case study illustrates valid decision-making processes based on data analytics. The case study further identifies methods to eliminate bias, and present independent objective reserves evaluations. Most of the challenges and situations herein are not fully addressed in Monograph 3 and are not documented in the regulations of the U.S. Security and Exchange Commission (SEC) or in the PRMS guidelines. While there may be differing approaches, and some analysts may prefer alternate methods, the authors believe that the items presented herein will benefit many who are starting to incorporate Monograph 3 in their work process. The authors hope that this paper will encourage additional discussion in our industry.