Measurement and Analysis of Wellbore Micro Losses and Rock Properties While Drilling: A Novel Approach to Identification of Fractures in the Osage and Meramec Formations of Anadarko Basin

Chiniwala, Barzin; Palakurthi, Aruna Kumar; Easow, Isaac; Russo, Eliana R.

doi:10.15530/urtec-2018-2896976

Cited by 3 publications

(2 citation statements)

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“…9. Delta Flow signatures and the corresponding fracture characterization (Chiniwala et al, 2018). samples from Well-B (Fig.…”

Section: B) Applicationmentioning

confidence: 99%

“…The real-time monitoring of micro mud flow in the formation via their differential can be used to characterize fracture patterns based on its loss signatures as shown in Fig. 9 (Chiniwala et al, 2018). This mud flow loss is also called 'Delta Flow', which is the change in flow out and flow in mud rate.…”

Section: Identification and Characterization Of Fracture Patternsmentioning

confidence: 99%

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Automated real-time formation evaluation from cuttings and drilling data analysis: State of the art

Singh

Cheng

et al. 2023

Adv. Geo-Energy Res.

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“…9. Delta Flow signatures and the corresponding fracture characterization (Chiniwala et al, 2018). samples from Well-B (Fig.…”

Section: B) Applicationmentioning

confidence: 99%

Section: Identification and Characterization Of Fracture Patternsmentioning

confidence: 99%

Automated real-time formation evaluation from cuttings and drilling data analysis: State of the art

Singh

Cheng

et al. 2023

Adv. Geo-Energy Res.

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Novel Proppant Logging Technique for Infill Drilling of Unconventional Shale Wells

Maity

Ciezobka

2022

SPE Reservoir Evaluation &Amp; Engineering

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Summary During the development of an unconventional play, wells are drilled and completed in batches, and depending on the development plans, current and expected energy market trends, as well as other developmental considerations, new wells are drilled and hydraulically fractured later near existing producing laterals. This creates challenges in terms of optimizing resource recovery and reducing interwell communication. A novel approach is proposed that utilizes systematic composite sampling and analysis of drilling mud returns to look for and quantitatively identify sand particles. The workflow involves cleaning, drying, and segregation of samples into sizes of interest to us (size distribution of pumped proppant in offset parent wells). These samples are imaged at a very high resolution and analyzed for grains using characteristic optical imaging properties to classify proppant sand particles using computer vision algorithms. Further analysis, such as elemental compositional analysis, is used to validate the results from the imaging workflow. We present a case study from the Permian Basin, where a new child well was used as a test case to prove this technology at the Hydraulic Fracturing Test Site (HFTS-2) in Delaware Basin. We introduce new proppant parameters that help identify sustained proppant zones vs. localized propped fractures. We have used additional diagnostics and data collected at the test site to validate observations from the proppant log and have successfully interpreted significantly propped vs. unpropped zones. A key finding from this test has been the significant proppant transport distances observed away from parent wells. Observable proppant was found at a lateral distance of approximately 425 m for one set of parent wells and more than 915 m for another set of parent wells. While a major limitation of this technique is the sampling rate, given adequate sampling, the proposed technology represents a systematic and one-of-a-kind interpretation of spatial proppant distribution while drilling infill wells. It provides us with unique opportunities to better understand the current state of the reservoir being targeted, including zones that are likely highly drained relative to others, and how the planned hydraulic fracturing of child wells can be improved.

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Measurement, Prediction, and Diagnosis

2021

Lost Circulation: A New Approach to an Old Challenge

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Measurement and Analysis of Wellbore Micro Losses and Rock Properties While Drilling: A Novel Approach to Identification of Fractures in the Osage and Meramec Formations of Anadarko Basin

Cited by 3 publications

References 0 publications

Automated real-time formation evaluation from cuttings and drilling data analysis: State of the art

Automated real-time formation evaluation from cuttings and drilling data analysis: State of the art

Novel Proppant Logging Technique for Infill Drilling of Unconventional Shale Wells

Measurement, Prediction, and Diagnosis

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