scholarly journals Understanding the Impact of Stimulation Treatment on Gas Production from a Horizontally Drilled Marcellus Shale Well

2018 ◽  
Author(s):  
Matthew Dean Carl Perrella
Keyword(s):  
Marcellus Shale ◽  
Gas Production ◽  
The Impact

Impact of the Cluster Spacing on Hydraulic Fracture Conductivity and Productivity of a Marcellus Shale Horizontal Well

2021 ◽  
Author(s):  
Mohamed El Sgher ◽  
Kashy Aminian ◽  
Ameri Samuel
Keyword(s):  
Hydraulic Fracture ◽  
Marcellus Shale ◽  
Technical Information ◽  
Gas Production ◽  
Production Performance ◽  
Valuable Insight ◽  
Fracture Conductivity ◽  
Fracture Properties ◽  
Gas Recovery ◽  
The Impact

Abstract The objective of this study was to investigate the impact of the hydraulic fracturing treatment design, including cluster spacing and fracturing fluid volume on the hydraulic fracture properties and consequently, the productivity of a horizontal Marcellus Shale well with multi-stage fractures. The availability of a significant amount of advanced technical information from the Marcellus Shale Energy and Environment Laboratory (MSEEL) provided an opportunity to perform an integrated analysis to gain valuable insight into optimizing fracturing treatment and the gas recovery from Marcellus shale. The available technical information from a horizontal well at MSEEL includes well logs, image logs (both vertical and lateral), diagnostic fracture injection test (DFIT), fracturing treatment data, microseismic recording during the fracturing treatment, production logging data, and production data. The analysis of core data, image logs, and DFIT provided the necessary data for accurate prediction of the hydraulic fracture properties and confirmed the presence and distribution of natural fractures (fissures) in the formation. Furthermore, the results of the microseismic interpretation were utilized to adjust the stress conditions in the adjacent layers. The predicted hydraulic fracture properties were then imported into a reservoir simulation model, developed based on the Marcellus Shale properties, to predict the production performance of the well. Marcellus Shale properties, including porosity, permeability, adsorption characteristics, were obtained from the measurements on the core plugs and the well log data. The Quanta Geo borehole image log from the lateral section of the well was utilized to estimate the fissure distribution s in the shale. The measured and published data were utilized to develop the geomechnical factors to account for the hydraulic fracture conductivity and the formation (matrix and fissure) permeability impairments caused by the reservoir pressure depletion during the production. Stress shadowing and the geomechanical factors were found to play major roles in production performance. Their inclusion in the reservoir model provided a close agreement with the actual production performance of the well. The impact of stress shadowing is significant for Marcellus shale because of the low in-situ stress contrast between the pay zone and the adjacent zones. Stress shadowing appears to have a significant impact on hydraulic fracture properties and as result on the production during the early stages. The geomechanical factors, caused by the net stress changes have a more significant impact on the production during later stages. The cumulative gas production was found to increase as the cluster spacing was decreased (larger number of clusters). At the same time, the stress shadowing caused by the closer cluster spacing resulted in a lower fracture conductivity which in turn diminished the increase in gas production. However, the total fracture volume has more of an impact than the fracture conductivity on gas recovery. The analysis provided valuable insight for optimizing the cluster spacing and the gas recovery from Marcellus shale.

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 A double-blind, placebo-controlled, cross-over study to establish the bifidogenic effect of a very-long-chain inulin extracted from globe artichoke (Cynara scolymus) in healthy human subjects

2010 ◽  
Vol 104 (7) ◽  
pp. 1007-1017 ◽  
Author(s):  
Adele Costabile ◽  
Sofia Kolida ◽  
Annett Klinder ◽  
Eva Gietl ◽  
Michael Bäuerlein ◽  
...  
Keyword(s):  
Gastrointestinal Symptoms ◽  
Gas Production ◽  
Globe Artichoke ◽  
Daily Consumption ◽  
Healthy Human ◽  
Double Blind ◽  
Cynara Scolymus ◽  
The Impact ◽  
Long Chain

There is growing interest in the use of inulins as substrates for the selective growth of beneficial gut bacteria such as bifidobacteria and lactobacilli because recent studies have established that their prebiotic effect is linked to several health benefits. In the present study, the impact of a very-long-chain inulin (VLCI), derived from globe artichoke (Cynara scolymus), on the human intestinal microbiota compared with maltodextrin was determined. A double-blind, cross-over study was carried out in thirty-two healthy adults who were randomised into two groups and consumed 10 g/d of either VLCI or maltodextrin, for two 3-week study periods, separated by a 3-week washout period. Numbers of faecal bifidobacteria and lactobacilli were significantly higher upon VLCI ingestion compared with the placebo. Additionally, levels ofAtopobiumgroup significantly increased, whileBacteroides–Prevotellanumbers were significantly reduced. No significant changes in faecal SCFA concentrations were observed. There were no adverse gastrointestinal symptoms apart from a significant increase in mild and moderate bloating upon VLCI ingestion. These observations were also confirmed byin vitrogas production measurements. In conclusion, daily consumption of VLCI extracted from globe artichoke exerted a pronounced prebiotic effect on the human faecal microbiota composition and was well tolerated by all volunteers.

Full scale co-digestion of organic waste

2000 ◽  
Vol 41 (3) ◽  
pp. 195-202 ◽  
Author(s):  
H. Kübler ◽  
K. Hoppenheidt ◽  
P. Hirsch ◽  
A. Kottmair ◽  
R. Nimmrichter ◽  
...  
Keyword(s):  
Negative Impact ◽  
Biogas Production ◽  
Electrical Power ◽  
Nutrient Content ◽  
Primary Energy ◽  
Gas Production ◽  
Waste Streams ◽  
Volatile Solids ◽  
Operation Results ◽  
The Impact

Operational results of a co-digestion facility were assessed over a period of 18 months. The organic fraction of municipal solid waste (OFMSW) contains a considerable amount of contaminants and grit (up to 6% w/w). A BTA-Pulper efficiently treated the different waste streams and converted a high amount of volatile solids (VS) into the digester feedstock. The seasonal fluctuations of the waste composition significantly influenced the biogas production. The impact of this seasonally variant degradability of VS had to be considered by evaluating the operation results. The waste streams investigated did not show any negative impact on digester performance. The hydraulic retention time (HRT) in the digester considerably affected the VS-reduction. Despite a considerable decrease of VS-degradation a reduction of HRT from 14 to 8 days slightly improves the gas production rate (GPR). An activated sludge system efficiently reduced the pollution of the effluent.The nutrient content of the anaerobic compostwas favourable and the content of pollutants was low. The facility produced surplus electrical power up to 290 MJ/t. An overall energy balance shows that the facility substitutes primary energy.

scholarly journals A model for coupled electro-hydro-mechanical processes in fine grained soils accounting for gas generation and transport

2010 ◽  
Vol 82 (1) ◽  
pp. 169-193 ◽  
Author(s):  
Claudio Tamagnini ◽  
Cristina Jommi ◽  
Fabio Cattaneo
Keyword(s):  
Pore Space ◽  
Transport Coefficients ◽  
Gas Production ◽  
Degree Of Saturation ◽  
Coupled Processes ◽  
Gas Generation ◽  
Fine Grained ◽  
Clayey Silt ◽  
Waste Containment Systems ◽  
The Impact

A theoretical and numerical model is developed for the quantitative analysis of coupled processes taking place in active waste containment systems, such as electrokinetic barriers or fences, in which alow intensity DC current is circulated across the clay barrier to move polar and non-polar contaminants. A novel feature of the proposed approach is the allowance for the presence of air in the pore space. Under unsaturated conditions, all transport coefficients involved in the electrokinetic process are strongly dependent on the degree of saturation of pore liquid. In order to assess the predictive capability of the proposed theory and to appreciate the impact of gas production at the electrodes, a series of numerical simulations of simple onedimensional electrokinetic tests have been performed. The results of the simulations compare reasonably well with data obtained from laboratory experiments performed on an illitic clayey silt. The numerical results indicate that the impact of gas production at the electrodes can be significant, even in low-intensity and short-duration treatments.

scholarly journals Effects of soil rewetting and thawing on soil gas fluxes: a review of current literature and suggestions for future research

2011 ◽  
Vol 8 (5) ◽  
pp. 9847-9899 ◽  
Author(s):  
D.-G. Kim ◽  
R. Vargas ◽  
B. Bond-Lamberty ◽  
M. R. Turetsky
Keyword(s):  
Climate Models ◽  
Gas Production ◽  
Global Climate Models ◽  
Soil Gas ◽  
Future Research ◽  
High Temporal Resolution ◽  
Short Term ◽  
Frozen Soils ◽  
Gas Fluxes ◽  
The Impact

Abstract. The rewetting of dry soils and the thawing of frozen soils are short-term, transitional phenomena in terms of hydrology and the thermodynamics of soil systems. The impact of these short-term phenomena on larger scale ecosystem fluxes has only recently been fully appreciated, and a growing number of studies show that these events affect various biogeochemical processes including fluxes of soil gases such as carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), ammonia (NH3) and nitric oxide (NO). Global climate models predict that future climatic change is likely to alter the frequency and intensity of drying-rewetting events and thawing of frozen soils, highlighting the importance of understanding how rewetting and thawing will influence soil gas fluxes. Here we summarize findings in a new database based on 338 studies conducted from 1956 to 2010, and highlight open research questions. The database revealed conflicting results following rewetting and thawing in various terrestrial ecosystems, ranging from large increases in gas fluxes to non-significant changes. An analysis of published field studies (n = 142) showed that after rewetting or thawing, CO2, CH4, N2O, NO and NH3 fluxes increase from pre-event fluxes following a power function, with no significant differenced among gases. We discuss possible mechanisms and controls that regulate flux responses, and note that a high temporal resolution of flux measurements is critical to capture rapid changes in gas fluxes after these soil perturbations. Finally, we propose that future studies should investigate the interactions between biological (i.e. microbial community and gas production) and physical (i.e. flux, diffusion, dissolution) changes in soil gas fluxes, and explore synergistic experimental and modelling approaches.

scholarly journals OPTIMAL PARAMETERS FOR THE FERMENTATION OF COMPLEX SUBSTRATES WHEN PRODUCING BIOGAS AT THE MAXIMAL METHANE CONCENTRATION

2014 ◽  
Vol 8 (1) ◽  
Author(s):  
Kulyash Meiramkulova ◽  
Azamat Bayanov
Keyword(s):  
Urban Areas ◽  
Factor Model ◽  
Gas Production ◽  
Maximum Amount ◽  
Energy Resources ◽  
Optimum Proportion ◽  
Fallen Leaves ◽  
The Impact ◽  
Random Nature ◽  
Fermentation Technology

Republic of Kazakhstan oil will last for 47.4 years, while gas production - 65.6 years. Given the Kashagan reserves, something else for a longer period, that is a very short periods of time with respect to the development of state and they can be extended only by the development of a technological breakthrough. Along with the question of the ever-growing needs of the population for energy resources, there is a question about the availability of annual waste generation as the impact of the rapid growth of the urban population, which is about 4% per year ("Population" encyclopedia of Astana, 2008). To cope with both problems simultaneously, the waste may be used as energy sources by fermentation technology. Among the urban wastes the organic waste is dominated, such as vegetables, fallen leaves, etc., that have the potential to produce biogas. The use of unsuitable materials as a natural catalyst of fermentation and the time spent on fermentation, are some of the existing barriers to the development of energy resources in urban areas. For this purpose a study was conducted to optimize the ratio of urban waste, animal waste and water in combination with the time of fermentation. The study used an experimental method with the random nature of the two-factor model. The first factor is the ratio of waste, manure, and the second quantity of water - during fermentation, which is fixed to each of 2, 4, 6, 8, 10, 12, 14, 16 and 18th day of the fermentation substrate. The study showed that the optimum proportion to obtain the maximum amount of biogas is a ratio of 500: 200: 300 waste, manure, and water, respectively. Furthermore, on the second day of fermentation the maximum amount of biogas produced.

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