Evaluation of Multi-Fractured Horizontal Well Performance: Babbage Field Case Study

Al-Shamma, Basil; Nicole, Helene; Nurafza, Peyman; Feng, Wenjie

doi:10.2118/168623-ms

Cited by 14 publications

(6 citation statements)

References 11 publications

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“…Gradual development of fracturing technology is based on the advance in chemistry & material science (fracturing fluids with programmed rheology, proppants, fibers, chemical diverters), mechanical engineering (ballactivated sliding sleeves for accurate stimulation of selected zones), and the success of fracturing stems from it being the most cost effective stimulation technique. At the same time, fracturing may be perceived as yet not fully optimized technology in terms of the ultimate production: up to 30% of fractures in a multi-stage fractured completion are not producing [2,3]. For example, [4] analyzed distributed production logs from various stages along the near-horizontal well and concluded that almost one third of all perforation clusters are not contributing to production.…”

Section: Problem Formulation In Fracturing Design Optimizationmentioning

confidence: 99%

Machine learning on field data for hydraulic fracturing design optimization

Mutalova¹,

Morozov²,

Осипцов³

et al. 2019

Preprint

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Growing amount of fracturing stimulation jobs in the recent two decades resulted in a significant amount of measured data available for construction of predictive models via machine learning (ML). Simultaneous evolution of machine learning has made it possible to apply algorithms on the hydraulic fracture database. A typical multistage fracturing job on a near-horizontal well today involves a significant number of stages. The post-fracturing production analysis (e.g., from production logging tools) reveals evidence that different stages produce very non-uniformly, and up to 30% may not be producing at all due to a combination of geomechanics and fracturing design factors. Hence, there is a significant room for fracturing design optimization, and the wealthy of field data combined with ML techniques opens a new road for solving this optimization problem. However, ML algorithms are only applicable when there is a comprehensive, well structured digital database. This paper summarizes the efforts into the creation of a digital database of field data from several thousands of multistage hydraulic fracturing jobs on near-horizontal wells from several different oilfields in Western Siberia, Russia. In terms of the number of points (fracturing jobs), the present database is a rare case of an outstandingly representative dataset of thousands of cases, compared to typical databases available in the literature, comprising tens or hundreds of pints at best. The focus is made on data gathering from various sources, data preprocessing and development of the architecture of a database as well as solving fracture design optimization via ML. We work with the database composed from reservoir properties, fracturing designs and production data. Both forward problem (prediction of production rate from fracturing design parameters) and inverse problem (selecting an optimum set of frac design parameters to maximize production) are considered. A recommendation system is designed for advising a DESC engineer on an optimized fracturing design.

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Section: Problem Formulation In Fracturing Design Optimizationmentioning

confidence: 99%

Machine learning on field data for hydraulic fracturing design optimization

Mutalova¹,

Morozov²,

Осипцов³

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…However, it may be difficult to find a correlation between hydraulic fracture geometry, its proppant coverage and their production performance (Al-Shamma, et al, 2014). However, the productivity of each fracture can be obtained from the PLT and this can be history-matched in the dynamic model.…”

Section: Analysis Of Hydraulic Fracture Performance With Pltmentioning

confidence: 99%

A Practical Workflow for Offshore Hydraulic Fracturing Modelling: Focusing on Southern North Sea

et al. 2015

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The high prices of energy encourage investments in oil and gas research and development leading to new or improved technologies to recover more hydrocarbons from resources and re-evaluate the reserves. As a result of such technological developments and experience of job practices, hydraulic fracturing techniques have improved significantly in terms of designing and execution and this, at the same time, has made the process much more complicated. This paper suggests a practical multi-disciplinary workflow for hydraulic fracturing modelling mainly in tight gas sandstone reservoirs.Hydraulic fracturing stimulations in costly environments such as the Southern North Sea require deeper insight into the chemistry and mechanics of the process, characteristics of the formation, and most importantly, the interactions during and after the stimulation job. Different sources of information and analysis such as seismic, reservoir static modelling, initial geomechanical modelling, initial hydraulic fracturing study, fracture initiation point analysis, 1-dimensional (vertical) stress modelling per frac, mini-frac, mainfrac, flowback analysis, well test analysis, and reservoir dynamic modelling are discussed in this paper. The key data cross checks are recognised and lessons learnt from industry are also incorporated to highlight the possible outcomes of different decisions.Having more information, particularly from different disciplines, can be more productive only if a comprehensive guideline explains the essential elements of the required studies and illustrates their interrelations. This workflow has been the reference of a validated study for a multi-fracced tight gas sandstone reservoir in the Southern North Sea. The workflow has been deployed to organise and recognise the key elements that control the performance of hydraulically fractured wells in a heterogeneous environment. From the workflow, a thorough examination and analysis of available data were performed and fed into the static and dynamic models. As a result of the integrated workflow, a better understanding of the reservoir was formed and potential upside opportunities became visible.This paper highlights the importance of integrated multi-disciplinary workflow required to detect, characterise and evaluate information from the field into a product that can be used to better understand hydraulic fracturing and tight gas sandstone reservoirs.

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“…All phase 1 wells were subject to a production logging test (PLT) in 2011 that revealed some interesting conclusions-significant perforation depth errors (up to 70 ft) and a flow distribution that was unrelated to fracture placement (Al-Shamma et al 2014).…”

Section: Case Study 3: Rigless Fracturing From a Normally Unmanned Plmentioning

confidence: 99%

The Evolution of Completion Practices and Reservoir Stimulation Techniques in the North Sea

Bocaneala

Barrett²,

Holland

et al. 2015

All Days

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The objective of this paper is to collate and share with the industry the technical knowledge on hydraulic fracturing and related completion practices accumulated from both operating and service companies throughout the North Sea. We will follow the evolution of completion technologies and hydraulic fracturing techniques from the early 1980s, when hydraulic fracturing offshore was in its infancy, to present-day modern practices. Although the North Sea hydrocarbon production has been in decline for the last 15 years, technologies exist that can improve production and transform resources into reserves in reservoirs previously believed uneconomic. Horizontal wells and hydraulic fracturing are two complementary technologies that, when combined, can reduce, halt, or even reverse this declining trend. The first hydraulic fracturing treatment in the North Sea was conducted over 40 years ago; since then, the stimulation techniques and completion technologies have advanced significantly. Throughout the years, there have been several milestones in the evolution of stimulated well completions, with the most significant being the transition from single-stage fracturing of vertical wells to multistage fracturing of horizontal wells in the drive for ever-greater reservoir contact. Recently, this combination of technologies made possible the development of small stranded fields otherwise considered noncommercial. The introduction of resin-coated proppants to minimize solids flowback, the evolution of fracturing fluids to meet the stringent environmental regulations, and the introduction of dedicated multistage completions to increase operational efficiency are further enabling innovations discussed in this paper. The latest advances such as proppant channel placement within the fracture, dissolvable completion equipment, and environmentally friendly seawater-based fracturing fluids, have already been introduced and promise significant future improvements to production and the completion cycle efficiency. The North Sea has been, and remains, at the forefront of safety, environmental awareness, and leading technology within the oil and gas industry. This paper reviews the historic evolution of hydraulic fracturing and well completions with the aim to create a clearer vision of the future by building on the past. Through this, we hope to inspire the new generation to find innovative solutions and continue the long history of hydrocarbon production in the North Sea.

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Evaluation of Multi-Fractured Horizontal Well Performance: Babbage Field Case Study

Cited by 14 publications

References 11 publications

Machine learning on field data for hydraulic fracturing design optimization

Machine learning on field data for hydraulic fracturing design optimization

A Practical Workflow for Offshore Hydraulic Fracturing Modelling: Focusing on Southern North Sea

The Evolution of Completion Practices and Reservoir Stimulation Techniques in the North Sea

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