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Collins D.S.,ESG Solutions | Toya Y.,ESG Solutions | Hosseini Z.,ESG Solutions
50th US Rock Mechanics / Geomechanics Symposium 2016 | Year: 2016

The rock mass response to mining is a complicated time dependent process that involves elastic and inelastic stress change. For most rock types, a microseismic monitoring system offers a way to see into a volume and accurately identify where inelastic fracture creation, shear movement on faults, or closure type events are occurring. In general mines collect and archive a significant amount of information in a seismic database over time. A closer seismic analysis of data (in addition to location and magnitude) can reveal hidden deformation/failure processes occurring in the rockmass over time, especially when looking at seismic event clusters. This paper presents results from the seismic deformation method and stress inversion analysis applied to seismic clusters from monitoring systems installed in two hard rock mines in Ontario Canada. Seismic deformation projected on a known fault surface is presented as a method for interpreting which region of the fault has failed. Seismic stress inversion analysis is performed on a cluster of seismic source mechanism results as a way to determine local stress directions and stress magnitude ratio in a region of a mine. Seismic stress results offer an important way to help validate numerical stress model results. This paper shows how more advanced microseismic analysis techniques can be used to produce results that can help engineers mine more safely and productively. Copyright 2016 ARMA, American Rock Mechanics Association.

BOSTON--(BUSINESS WIRE)--State Street Corporation (NYSE:STT) and TruValue Labs, a provider of artificial intelligence-driven environmental, social and governance (ESG) data, today announced an agreement to promote the adoption of industry-standard ESG data produced according to the Sustainability Accounting Standards Board (SASB) framework. TruValue Labs leverages artificial intelligence to review thousands of information sources each day and provide signals founded on real-time sustainability data analytics to investors, financial institutions and corporations. As part of the agreement, State Street will gain access to one of TruValue Labs’ ESG signals, based on SASB’s industry-leading materiality framework, which identifies sustainability issues at the industry level. According to a recent study of both retail and institutional investors from State Street’s Center for Applied Research, 60 percent of respondents note a lack of industry standards for measuring ESG performance as a significant barrier to full integration[1]. Additionally, benchmarking is also seen as one of the greatest challenges, as more than half of respondents say they find it difficult to benchmark performance against peers.[2] “Successful ESG investing is not possible without full data transparency into companies’ non-financial factors,” said John Plansky, global head of State Street Global Exchange. “State Street is committed to delivering timely and consistent ESG data and insights to our clients. This partnership with TruValue Labs is the next step in helping investors factor sustainability-related impacts when making decisions.” In addition to leveraging SASB’s framework, State Street and TruValue Labs plan to collaborate on research and the development of new products and solutions that will ultimately provide investors with the tools they need to further integrate key sustainability insights into their decision making processes. “We’re thrilled to partner with one of the world’s leading financial services providers,” said Hendrik Bartel, CEO and co-founder of San Francisco-based TruValue Labs. “This will give State Street clients the ability to use the SASB framework in decision making.” “State Street and TruValue Labs are united by a mission of improving the transparency and availability of data that will allow investment professionals to meaningfully analyze risk and identify opportunities that can be found beyond compulsory financial fillings,” said Mark McDivitt, head of ESG Solutions at State Street Global Exchange. "Sustainability issues impact financial performance in specific ways that vary by topic and industry," said SASB Director of Capital Markets Policy & Outreach Janine Guillot. "Today’s announcement will help the investment industry begin to compare company performance on material sustainability topics in the context of industry characteristics and value drivers." State Street Corporation (NYSE: STT) is one of the world's leading providers of financial services to institutional investors including investment servicing, investment management and investment research and trading. With $29.83 trillion in assets under custody and administration and over $2 trillion* in assets under management as of March 31, 2017, State Street operates globally in more than 100 geographic markets and employs 34,817 worldwide. For more information, visit State Street's website at *Assets under management were $2.56 trillion as of March 31, 2017. AUM reflects approx. $33.33 billion (as of March 31, 2017) with respect to which State Street Global Advisors Funds Distributors, LLC (SSGA FD) serves as marketing agent; SSGA FD and State Street Global Advisors are affiliated. TruValue Labs is a data and risk analytics company which provides objective, timely, and alternative data sets that reveal intangible value by leveraging artificial intelligence. The core technology is the flexible InsightEngine,™ which captures extra-financial signals from unstructured data with a focus on Environmental, Social, and Governance (ESG) criteria. TruValue Labs delivers increased transparency to financial markets by providing analytics that go beyond traditional fundamentals, offering SaaS-based platforms, as well as state-of-the art API’s that allow for easy integration. [1] The study is based on a global survey of 582 institutional investors who are, or plan to, implement environment, social and governance (ESG) into their investment process and 750 individual ESG and non-ESG investors. [2] The study is based on a global survey of 582 institutional investors who are, or plan to, implement environment, social and governance (ESG) into their investment process and 750 individual ESG and non-ESG investors.

News Article | August 8, 2017

Today much of ESG data is derived from company-provided materials – taking an inside-out perspective on ESG, focused on what companies disclose. TruValue Labs takes an outside-in perspective – capturing the widest variety of perspectives available on companies' ESG performance. Why ESG Momentum™ matters for the investment industry Research studies show a correlation between ESG momentum and investment performance. Furthermore, the studies found that improvements in sustainability are often a better indicator of future success than a company's current ESG scorei,ii. TruValue Labs' Insight360™ suite of products now includes an ESG Momentum Score™, which quantifies the positive or negative ESG momentum of a company. In addition to an ESG Momentum Score and a timely Pulse Score™, which charts ESG activity as events happen, the Insight360 platform includes a longer-term measure of ESG performance called the Insight Score™, which is suitable for portfolio and index construction. All three scores enable a range of investment strategies, leveraging artificial intelligence to analyze the massive volume of publicly available data on companies. Unlike annually produced ESG ratings, TruValue Labs' scores incorporate events as they occur. "When it comes to ESG, investment professionals need more than ratings based on annual, company self-reported information—they require timely data from an external, objective perspective that we call 'ESG2.0,'" said Hendrik Bartel, CEO and co-founder of TruValue Labs. "This next-gen ESG data incorporates events around the clock, with scores that demonstrate how company performance is changing over time." "TruValue Labs' new Insight and Momentum scores, built using the SASB materiality framework, will further the mission of improving the availability and transparency of ESG data and support decision making for a broad spectrum of investment strategies," said Mark McDivitt, head of ESG Solutions at State Street Global Exchange. TruValue Labs is the first company to apply artificial intelligence (AI) to uncover timely Environmental, Social, and Governance (ESG) data on a variety of asset classes. The company's mission is to deliver increased transparency to investment professionals by providing data and analytics that go beyond traditional fundamentals. The flagship product, Insight360™, delivers timely and investable insights by revealing intangible value and risk factors from unstructured data. Visit to learn more about the SaaS and API products. iNN Investment Partners. (2016.) The materiality of ESG factors for equity investment decisions: academic evidence. Available on request from NNIP iiThornburg Investment Management. (2016.)  ESG Momentum Stocks: Sustainable Investing's Diamonds in the Rough. Retrieved from

News Article | August 3, 2017

BMO Financial Group was selected as the 2017 award recipient from a ranking of approximately 5,000 companies. The award highlighted that BMO's high ESG (Environmental, Social and Governance) scores place it above all other ranked companies across all industry groups in the United States and Canada and the highest ranked in the financial sector worldwide. "As a financial institution that has attained and maintained carbon neutrality across its enterprise since 2010, achieved a goal of 40 per cent representation of women in senior leader roles, and has a 30-year track record in responsible investment according to their December 2016 accounting, BMO Financial Group gives evidences of a consistent application of best practices in ESG areas," said Gregg Sgambati, Director of ESG Solutions at S-Network Global Indexes, Inc. "We're honoured to be ranked number one among all industry groups in North America," said Simon Fish, General Counsel for BMO Financial Group, and Chair of BMO's Sustainability Council. "In 2017, BMO proudly celebrates 200 years in business. As we continue to pursue sustainable growth, we will aim to uphold our legacy of trust as a responsibly managed bank." Previous recipients of the award include Praxair in 2016, Johnson & Johnson in 2015, Intel in 2014 and Unilever in 2013. For more information on BMO's ESG activities, please read our Environmental, Social and Governance Report at: About BMO Financial Group Established in 1817, and currently marking its 200th year of operations, BMO Financial Group is a highly diversified financial services provider based in North America. With total assets of $719 billion as of April 30, 2017, and more than 45,000 employees, BMO provides a broad range of personal and commercial banking, wealth management and investment banking products and services to more than 12 million customers and conducts business through three operating groups: Personal and Commercial Banking, Wealth Management and BMO Capital Markets. About S-Network Global Indexes, Inc. S-Network Global Indexes, Inc. is a publisher and developer of proprietary and custom indexes. Founded in 1997, S-Network publishes over 200 indexes, which serve as the underlying portfolios for financial products with over USD 5 billion in assets under management. S-Network indexes, which are supported by a state-of-the-art technology platform, are known for their transparency and efficiency. S-Network is a leader in socially responsible investment, publishing best-practice benchmark indexes in collaboration with Thomson Reuters. S-Network published the first global alternative energy and water indexes, which today serve as the recognized benchmarks for those sectors worldwide. In addition to publishing socially responsible indexes, S-Network produces proprietary environmental, social and governance ratings on nearly 5,000 public companies worldwide.

Dorion J.-F.,Niobec Inc. | Hosseini Z.,ESG Solutions
47th US Rock Mechanics / Geomechanics Symposium 2013 | Year: 2013

The Niobec underground niobium mine is located twenty-five kilometres northwest of Ville de Saguenay (Chicoutimi), within the limits of the municipality of Saint-Honoré, Québec. The mine is North America's only source of pyrochlore, the primary niobium ore. All of Niobec ore is extracted by bulk open stope mining with no fill. A mining throughput rate of 10Mtpy is expected with the future block caving method. The life-span of the mine is estimated at about 40 years with the known mineral resource. Some seismic events have occurred in the last number of years. Most of these events occurred in pillars between open stopes or directly in open stopes. Damage from these events has included small rock projections, raveling and fractures. As Niobec has no seismic detection system in place, the epicenter location of each event has been difficult to determine. The design of a seismic system was undertaken in the summer of 2012. Niobec will be able to monitor seismic activity for the current open stope mining operator as well as for the future block caving method by strategically placing the equipment in existing openings above any planned undercuts for the progression of the caves. Copyright 2013 ARMA, American Rock Mechanics Association.

Verdon J.P.,University of Bristol | Wuestefeld A.,ESG Solutions
74th European Association of Geoscientists and Engineers Conference and Exhibition 2012 Incorporating SPE EUROPEC 2012: Responsibly Securing Natural Resources | Year: 2012

The effect of fractures on seismic waves is controlled by the normal and tangential compliances of the fractures (BN and BT). Rock physics models and laboratory experiments have indicated that BN/BT will be influenced by (1) the bulk modulus of the fluid filling the fracture, (2) the degree of connectivity between the fracture and equant pore space, and (3) the internal architecture of the fracture, such as the roughness of fracture faces, or the presence of detrital or diagenetic infilling material. Therefore, measurements of BN/BT will provide useful information during hydraulic fracture stimulation. We develop a method to invert S-wave splitting (SWS) data, measured on microseismic events recorded on downhole geophone arrays, for the ratio of normal to tangential compliance (BN/BT) of sets of aligned fractures. We demonstrate this method by inverting for BN/BT using SWS measurements made during hydraulic fracture stimulation of the Cotton Valley tight gas reservoir, Texas. When the full SWS dataset is inverted, we find that BN/BT=0.74±0.04. Windowing the data by time, we have been able to observe temporal variations, finding that BN/BT varies as the stimulation progresses, and most notably when proppant is injected.

Jechumtalova Z.,Academy of Sciences of the Czech Republic | Sileny J.,Academy of Sciences of the Czech Republic | Trifu C.-I.,ESG Solutions
Geophysical Journal International | Year: 2014

The resolution of event mechanism is investigated in terms of the unconstrained moment tensor (MT) source model and the shear-tensile crack (STC) source model representing a slip along the fault with an off-plane component. Data are simulated as recorded by the actual seismic array installed at Ocnele Mari (Romania), where sensors are placed in shallow boreholes. Noise is included as superimposed on synthetic data, and the analysis explores how the results are influenced (i) by data recorded by the complete seismic array compared to that provided by the subarray of surface sensors, (ii) by using three-or one-component sensors and (iii) by inverting P-and S-wave amplitudes versus P-wave amplitudes only. The orientation of the pure shear fracture component is resolved almost always well. On the other hand, the noise increase distorts the non-double-couple components (non-DC) of the MT unless a highquality data set is available. The STC source model yields considerably less spurious non-shear fracture components. Incorporating recordings at deeper sensors in addition to those obtained from the surface ones allows for the processing of noisier data. Performance of the network equipped with three-component sensors is only slightly better than that with uniaxial sensors. Inverting both P-and S-wave amplitudes compared to the inversion of P-wave amplitudes only markedly improves the resolution of the orientation of the source mechanism. Comparison of the inversion results for the two alternative source models permits the assessment of the reliability of non-shear components retrieved. As example, the approach is investigated on three microseismic events occurred at Ocnele Mari, where both large and small non-DC components were found. The analysis confirms a tensile fracturing for two of these events, and a shear slip for the third. © The Authors 2014. Published by Oxford University Press on behalf of The Royal Astronomical Society.

Jhamandas S.,ESG Solutions
Hart's E and P | Year: 2011

ESG Solutions, one of the world's only designers of microseismic-specific instrumentation, has successfully transformed a short-term fracture mapping technique into a powerful, cost-effective reservoir monitoring technology. Steam chamber growth can be mapped, and adjustments can be made to steaming programs to target any identified regions of bypassed oil. The frequency characteristics of a well casing shear can be characterized, enabling operators to react immediately to potentially hazardous events. Advanced geophysical analysis such as seismic moment tensor inversion (SMTI) can characterize micro-seismic events by their specific failure type, allowing engineers and geophysicists to learn exactly how the reservoir rock is breaking. The microseismic analysis can be used to validate the engineering process and calibrate geomechanical models that can be used to forecast reservoir response to subsequent stimulation programs.

Leslie I.,ESG Solutions
Mining Magazine | Year: 2013

As the depths of open-pit operations continue to increase, stresses within and beneath pit walls can cause considerable instability on slope surfaces. Monitoring systems represent an essential tool to mitigate economic and safety risk associated with slope failure. Despite the fact that seismic monitoring of underground mines is well established, the application of this technology to monitor open-pit mines is relatively recent. The knowledge of seismicity behind pit walls offers engineers an excellent opportunity to evaluate rock-mass behaviour, track fracture propagation and potentially predict slope stability issues before they manifest on the surface. Natural expansion of microseismic systems can be used to aid the transition from large open-pit operations to underground mass mining, during which considerable seismicity is expected.

HOUSTON, Nov. 29, 2016 /PRNewswire/ -- ESG Solutions, an industry leader in microseismic technology and services, is pleased to welcome the technical expertise of Eric von Lunen as Senior Advisor, Reservoir and Rock Mass Characterization and Dr. Doug Angus as Advisor, Geomechanics to...

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