Flexible, Expanding Cement System (FECS) Successfully Provides Zonal Isolation Across Marcellus Shale Gas Trends

2011 ◽  
Author(s):  
Robert Heath Williams ◽  
Deepak Kumar Khatri ◽  
Roger F. Keese ◽  
Sylvaine Le Roy-Delage ◽  
Justin Martin Roye ◽  
...  
Keyword(s):  
Shale Gas ◽  
Marcellus Shale ◽  
Cement System ◽  
Zonal Isolation

Engineered Solution Helps Tackle Tricky Shale Gas Cementing Challenge in HP/HT to Deliver Good Cement Bond Across Shale Section Located in Western India

2021 ◽  
Author(s):  
DV Chandrashekar ◽  
Mikhil Dange ◽  
Animesh Kumar ◽  
Devesh Bhaisora
Keyword(s):  
Shale Gas ◽  
Energy Demand ◽  
Accurate Determination ◽  
Western India ◽  
Strong Impact ◽  
Cambay Basin ◽  
Gas Reservoir ◽  
Geomechanical Properties ◽  
Cement System ◽  
Zonal Isolation

Abstract In a world where energy is a major concern, the revolution of shale gas globally has triggered a potential shift in thinking about production and consumption that no one would have expected. The enormous shale gas resources identified today are becoming game changers in many developing countries. The booming economy of India is seeing a significant increase in its energy demand, with industries establishing new footprints in the western region of the country. Operators are venturing into deeper and harsher conditions (HP/HT environments) to tap those resources. Even though shale gas is now found globally, it is still described as an unconventional source of hydrocarbons. This is because the extraction of shale gas is tricky and challenging. To unlock the unconventional gas reservoir most of the wells are horizontally drilled and hydraulically fractured. This process has a strong impact on cement bonding across the section. Firstly, the cement needs to provide an effective barrier in the annulus around the casing, which has been horizontally placed. Secondly, cement has to withstand various mechanical loads during hydraulic fracturing and ultimately over the life of the well. The present study covers the Navagam field located in the Ahmedabad block of North Cambay Basin. Cambay Basin is bounded on its eastern and western sides by basin-margin faults and extends south into the offshore Gulf of Cambay, limiting its onshore area to 7,900 mi2. The operator's western asset had already deployed its resources on evaluating the data to assess the potential shale gas in the Navagam block in the Cambay Basin. This paper highlights successful cement placement in an unconventional shale gas reservoir in onshore western India. It was crucial to understand why early exploration wells in the area resulted in poor initial zonal isolation in order to refine the asset development model for future wells. Based on these models, a mechanically modified resilient cement system was engineered. Subsequent exploration wells were then cemented with the resilient cement system to allow for dependable zonal isolation of reservoir bands permitting the accurate determination of discrete reservoir geomechanical properties within the overall reservoir target.

CHEMICAL FORMS OF INORGANIC ELEMENTS IN WASTEWATER FROM A MARCELLUS SHALE-GAS WELL

2016 ◽  
Author(s):  
Douglas B. Kent ◽  
◽  
Matthias Kohler ◽  
Meagan Mnich ◽  
Christopher H. Conaway ◽  
...  
Keyword(s):  
Shale Gas ◽  
Marcellus Shale ◽  
Chemical Forms ◽  
Inorganic Elements ◽  
Gas Well

scholarly journals New Hybrid Approach for Developing Automated Machine Learning Workflows: A Real Case Application in Evaluation of Marcellus Shale Gas Production

Fuels ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 286-303
Author(s):  
Vuong Van Pham ◽  
Ebrahim Fathi ◽  
Fatemeh Belyadi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Shale Gas ◽  
Field Data ◽  
Marcellus Shale ◽  
Hybrid Approach ◽  
Gas Production ◽  
Bayesian Optimization ◽  
Real Field ◽  
Engineering Problems

The success of machine learning (ML) techniques implemented in different industries heavily rely on operator expertise and domain knowledge, which is used in manually choosing an algorithm and setting up the specific algorithm parameters for a problem. Due to the manual nature of model selection and parameter tuning, it is impossible to quantify or evaluate the quality of this manual process, which in turn limits the ability to perform comparison studies between different algorithms. In this study, we propose a new hybrid approach for developing machine learning workflows to help automated algorithm selection and hyperparameter optimization. The proposed approach provides a robust, reproducible, and unbiased workflow that can be quantified and validated using different scoring metrics. We have used the most common workflows implemented in the application of artificial intelligence (AI) and ML in engineering problems including grid/random search, Bayesian search and optimization, genetic programming, and compared that with our new hybrid approach that includes the integration of Tree-based Pipeline Optimization Tool (TPOT) and Bayesian optimization. The performance of each workflow is quantified using different scoring metrics such as Pearson correlation (i.e., R2 correlation) and Mean Square Error (i.e., MSE). For this purpose, actual field data obtained from 1567 gas wells in Marcellus Shale, with 121 features from reservoir, drilling, completion, stimulation, and operation is tested using different proposed workflows. A proposed new hybrid workflow is then used to evaluate the type well used for evaluation of Marcellus shale gas production. In conclusion, our automated hybrid approach showed significant improvement in comparison to other proposed workflows using both scoring matrices. The new hybrid approach provides a practical tool that supports the automated model and hyperparameter selection, which is tested using real field data that can be implemented in solving different engineering problems using artificial intelligence and machine learning. The new hybrid model is tested in a real field and compared with conventional type wells developed by field engineers. It is found that the type well of the field is very close to P50 predictions of the field, which shows great success in the completion design of the field performed by field engineers. It also shows that the field average production could have been improved by 8% if shorter cluster spacing and higher proppant loading per cluster were used during the frac jobs.

scholarly journals Lung Cancer Risk from Radon in Marcellus Shale Gas in Northeast U.S. Homes

Risk Analysis ◽  
2016 ◽  
Vol 36 (11) ◽  
pp. 2105-2119 ◽  
Author(s):  
Austin L. Mitchell ◽  
W. Michael Griffin ◽  
Elizabeth A. Casman
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Shale Gas ◽  
Lung Cancer Risk ◽  
Marcellus Shale

Marcellus Shale Gas Boom and Forestry Employment: Evidence from West Virginia

2021 ◽  
Author(s):  
Kathryn A Gazal ◽  
Kathleen G Arano
Keyword(s):  
West Virginia ◽  
Shale Gas ◽  
Marcellus Shale ◽  
Growth Potential ◽  
Adverse Impact ◽  
Relative Wage ◽  
Forestry Sector ◽  
Movement Effect ◽  
The Impact

Abstract Advancement in drilling technology has increased natural gas extraction activities from the Marcellus shale deposit resulting in a shale gas boom in many regions, including West Virginia. This boom has created a significant labor demand shock to local economies experiencing the boom. A number of studies have shown that a shale gas boom directly increases employment and the income of those working in the industry. However, the boom can also have an adverse impact on other sectors through the resource movement effect and intersector labor mobility, pulling workers away from a related sector like forestry. Thus, an econometric model of employment in the forestry sector was developed to investigate the impact of the Marcellus shale gas boom in West Virginia. There is evidence of a labor movement effect with forestry employment negatively affected by the Marcellus shale boom. Specifically, the overall marginal effect of the shale boom on forestry employment is approximately 435 fewer jobs. However, the extent of the decline is slightly moderated by a higher relative wage between gas and forestry, perhaps suggesting diminishing returns and overall slack in the local labor market. Study Implications Although a Marcellus shale gas boom directly increases employment and the income of those working in that industry, it can have an adverse impact on other sectors by pulling workers away from a related sector like forestry. This study showed that employment in the West Virginia forestry sector was negatively affected by the shale gas boom. An important policy issue is how to manage the cyclical nature of shale gas booms and the negative impacts on other industries with long-term growth potential, like the forestry sector. This sector does not suffer through boom-and-bust cycles, making it important for long-term economic stability.

Shale-gas well in Marcellus Shale with bi-wing hydraulic fractures

2021 ◽  
pp. 89-103
Author(s):  
Sutthaporn Tripoppoom ◽  
Wei Yu ◽  
Kamy Sepehrnoori ◽  
Jijun Miao
Keyword(s):  
Shale Gas ◽  
Marcellus Shale ◽  
Hydraulic Fractures ◽  
Gas Well

scholarly journals Life Cycle Water Consumption and Wastewater Generation Impacts of a Marcellus Shale Gas Well

2014 ◽  
Vol 48 (3) ◽  
pp. 1911-1920 ◽  
Author(s):  
Mohan Jiang ◽  
Chris T. Hendrickson ◽  
Jeanne M. VanBriesen
Keyword(s):  
Life Cycle ◽  
Water Consumption ◽  
Shale Gas ◽  
Marcellus Shale ◽  
Gas Well ◽  
Wastewater Generation
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