Mapping Key Reservoir Properties Along Horizontal Shale Gas Wells

Khalid, Salman; Faurschou, Ken; Zhao, Xianran; Gorchynski, Trevor; Maréchal, François

doi:10.2118/137413-ms

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…Bedding planes on borehole images can provide the information of formation occurrence as well as the relationship between well trajectory and the formation. It will show a smile face when the well drilling up the formation, and show a cry face when drilling down the formation [5,6], so that we can do the correlation accordingly. In addition, crushed zone and micro faults can be seen on the FMI image if the well encountered a fault.…”

Section: Structural Analysis and Well Correlation For Sidetracking Wellmentioning

confidence: 99%

Integrated Formation Evaluation of a Complex Tight Oil Reservoir in Junggar Basin, Northwest China

Zhang

Zhang³

et al. 2014

AMR

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Jimusaer tight oil reservoir is characterized by complex lithology, low permeability and high total organic carbon (TOC) content. These features make conventional logging responses very complicated and bring big troubles to reservoir identification. Horizontal well drilling is extremely difficult due to high heterogeneity and uncertain faulting. To maximize oil production with low cost, an integrated solution is provided. First, accurate reservoir characteristics of the pilot well was got using an unconventional evaluation approach by combining capture spectroscopy log, micro-resistivity imager log, nuclear magnetic resonance log, et al. Second, structure analysis for sidetracking well and well correlation between the sidetracking well and the pilot well were done to guide the horizontal section drilling. Third, reservoir quality and completion quality were evaluated for horizontal well, and a 3D structural model was built to optimize the stimulation design by combining reservoir quality, completion quality and natural fractures.

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Section: Structural Analysis and Well Correlation For Sidetracking Wellmentioning

confidence: 99%

Integrated Formation Evaluation of a Complex Tight Oil Reservoir in Junggar Basin, Northwest China

Zhang

Zhang³

et al. 2014

AMR

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“…However, because hydrocarbon content in a shale gas reservoir is different from that in a conventional gas reservoir, it requires the use of a more detailed petrophysical model involving organic matter for interpreting well log data (Glorioso and Rattia, 2012;Alfred and Vernik, 2013;Holmes et al, 2014). Khalid et al (2010) showed variation in properties along horizontal well of shale gas reservoir in Canada. Kam et al (2015) applied history matching simulations based on 3D geocellular model in the Horn River Basin.…”

Section: Introductionmentioning

confidence: 99%

Petrophysical approach for estimating porosity, clay volume, and water saturation in gas-bearing shale: A case study from the Horn River Basin, Canada

Kim¹,

Hwang²,

Jang³

2016

AJES

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Shale gas exists partly as a gas adsorbed to clay mineral and partly as a free gas within the pores. To evaluate a shale gas reservoir and calculate total gas content, it is essential to accurately analyze porosity, clay volume, and water saturation. In this study, we estimate these factors for the Horn River Basin using various types of well log data such as density log, sonic log, resistivity log, and neutron porosity log. Because a simple density porosity equation results in unreasonable fluid densities, we estimate porosity using total organic carbon. Based on brittleness, an empirical equation for clay volume is defined. Because the correlation coefficient between core-tested clay volume and water saturation is greater than 0.9, the empirical equation for water saturation is also defined in terms of brittleness. For the shale gas reservoir in the Horn River Basin, porosity can be calculated by using a linear equation with the density log, and clay volume and water saturation can be calculated by using a linear relationship with Young's modulus and Poisson's ratio. This study suggests that porosity, clay volume, and water saturation models can be established using the elastic model built on seismic inversion.

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“…Besides that, there is a common misunderstanding that regardless of where the borehole is positioned within the structure, as long as the borehole is located within or close to the target reservoir, hydraulic stimulation can connect the well to the reservoir and the well will produce efficiently. Heterogeneity of properties along horizontal wells has a significant impact on the quality of completion as well as on production from each stage [4]. This heterogeneity can be seen in the quality of the reservoir, such as changes in kerogen content and maturity, free porosity, and water saturation, and in factors that directly affect the course of induced fracturing in the well.…”

Section: Introductionmentioning

confidence: 99%

Innovative Unconventional Formation Evaluation Approach in a Tight Oil Reservoir, Xinjiang Oilfield, China

Wang¹,

et al. 2015

Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering

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Complicated minerals, high total organic carbon (TOC) content, and thin interbeded layers aggravated the complexity of logging responses and made it very difficult to find the target zone of the tight oil reservoir in the Jimusaer depression in northwestern China. Horizontal well drilling is extremely difficult in the formation due tohigh heterogeneity and uncertain fault, it caused hundreds of millions of dollars' loss to drill one horizontal well without targeting the zone. To maximize oil production with low cost, an integrated solution is provided. First, we used an unconventional evaluation approach to integrate an elemental capture spectroscopy log with other logs to get accurate reservoir characteristics. Second, we built a 3D structural model to target the best reservoir. Third, we combined Reservoir Quality (RQ), Completion Quality (CQ), and 3D structural models to optimize the stimulation design and enhance production. With this approach, which integrates the RQ and CQ parameters into the 3D structural model, not only can we evaluate the effective porosity, saturation, minerals, fractures, TOC, and stress profile along the wellbore, but also can get a clear picture of these properties in 3D distribution so that multistage hydraulic fracturing design can be made more effectively and at lower cost. Application of this approach on several wells proved that it is an effective way for tight oil reservoir evaluation and production enhancement.

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Mapping Key Reservoir Properties Along Horizontal Shale Gas Wells

Cited by 6 publications

References 6 publications

Integrated Formation Evaluation of a Complex Tight Oil Reservoir in Junggar Basin, Northwest China

Integrated Formation Evaluation of a Complex Tight Oil Reservoir in Junggar Basin, Northwest China

Petrophysical approach for estimating porosity, clay volume, and water saturation in gas-bearing shale: A case study from the Horn River Basin, Canada

Innovative Unconventional Formation Evaluation Approach in a Tight Oil Reservoir, Xinjiang Oilfield, China

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