Stage-Level Data Integration to Evaluate the Fracturing Behavior of Horizontal Wells at the Hydraulic Fracturing Test Site (HFTS): An Insight into the Production Performance

Salahshoor, Shadi; Maity, Debotyam; Ciezobka, Jordan

doi:10.15530/urtec-2020-3058

Cited by 7 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The HFTS project, fielded within the Wolfcamp Formation in the Permian Basin, provides an excellent opportunity to further develop our understanding of the hydromechanical response to hydraulic stimulation and associated fluid transport in shale lithologies. Supported by the U.S. Department of Energy and a consortium of industry sponsors, the experiment was designed to elucidate the intra-and inter-well stress interactions within a single horizon and also among vertically separated wells in different lithologic units, and their influence on hydrocarbon production [24][25][26]37]. The project involved the drilling of 11 horizontal wells within the Upper and Middle Wolfcamp Formation in the Midland basin of West Texas, at a site hosted by Laredo Petroleum, Inc.…”

Section: Hydraulic Fracturing Field Test Site In the Permian Basin (Usa)mentioning

confidence: 99%

“…We are currently testing the integrated modeling framework using data and core samples from the Hydraulic Fracturing Field Test (HFTS), a recent field experiment with extensive monitoring of the hydraulic fracturing process and the associated shale oil and gas production in the Permian Basin [24][25][26]. In addition to a full set of geophysical and other observations (such as microseismic signals, tilt, downhole pressure variations, tracer transport, and production data) which can be used to test the GEOS-TOUGH+ reservoirscale simulations, the HFTS project obtained core samples from a science observation well that was drilled through the stimulated volume after hydraulic fracturing.…”

Section: Introductionmentioning

confidence: 99%

“…Bottom: CT scan image of the corresponding core sample. More details may be found in[26].…”

mentioning

confidence: 99%

See 2 more Smart Citations

A New Modeling Framework for Multi-Scale Simulation of Hydraulic Fracturing and Production from Unconventional Reservoirs

et al. 2021

View full text Add to dashboard Cite

This paper describes a new modeling framework for microscopic to reservoir-scale simulations of hydraulic fracturing and production. The approach builds upon a fusion of two existing high-performance simulators for reservoir-scale behavior: the GEOS code for hydromechanical evolution during stimulation and the TOUGH+ code for multi-phase flow during production. The reservoir-scale simulations are informed by experimental and modeling studies at the laboratory scale to incorporate important micro-scale mechanical processes and chemical reactions occurring within the fractures, the shale matrix, and at the fracture-fluid interfaces. These processes include, among others, changes in stimulated fracture permeability as a result of proppant behavior rearrangement or embedment, or mineral scale precipitation within pores and microfractures, at µm to cm scales. In our new modeling framework, such micro-scale testing and modeling provides upscaled hydromechanical parameters for the reservoir scale models. We are currently testing the new modeling framework using field data and core samples from the Hydraulic Fracturing Field Test (HFTS), a recent field-based joint research experiment with intense monitoring of hydraulic fracturing and shale production in the Wolfcamp Formation in the Permian Basin (USA). Below, we present our approach coupling the reservoir simulators GEOS and TOUGH+ informed by upscaled parameters from micro-scale experiments and modeling. We provide a brief overview of the HFTS and the available field data, and then discuss the ongoing application of our new workflow to the HFTS data set.

show abstract

Section: Hydraulic Fracturing Field Test Site In the Permian Basin (Usa)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A New Modeling Framework for Multi-Scale Simulation of Hydraulic Fracturing and Production from Unconventional Reservoirs

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Fracture characterization as well as analysis of proppant from within the SRV have provided significant insights into fracture propagation and proppant distribution within the SRV (Gale et al 2018;Maity et al 2018;Maity and Ciezobka 2019b). Recent studies using HFTS data have highlighted impact of well interference (Kumar et al 2020), provided advanced pressure data diagnostics using Chu Pressure Group method (Li et al 2019), and examples of advanced data analytics techniques for well performance evaluations (Salahshoor et al 2020). The rich dataset has also been instrumental in defining new fracture modeling framework for unconventional reservoirs (Birkholzer et al 2021).…”

Section: Test Sitementioning

confidence: 99%

“…Various datasets, such as OMBI derived fracture distribution, pumping data, production data analysis, lithologic variability between intervals could all help us better understand the factors driving well performance. While a holistic data analytics approach is useful (Salahshoor et al 2020), in this paper, we will delve into specific datasets and techniques to better understand causality which in turn can be helpful when interpreting results from data analytics workflows published independent of this study.…”

Section: Problem Statement and Motivation Behind Studymentioning

confidence: 99%

Diagnostic assessment of reservoir response to fracturing: a case study from Hydraulic Fracturing Test Site (HFTS) in Midland Basin

Maity

Ciezobka

2021

J Petrol Explor Prod Technol

Self Cite

View full text Add to dashboard Cite

This paper outlines a data collection and diagnostics case study involving multiple horizontal shale wells. We look at well production profiles using rate transient analysis, differences in near wellbore complexity, geologic variations within the area of interest, as well as compositional differences in the rocks based on cores obtained from within the stimulated reservoir. The Hydraulic Fracturing Test Site is a multi-well experiment involving stimulation of unconventional shale wells in the southeastern Midland portion of the Permian Basin. The targeted formations include both the upper as well as the middle Wolfcamp formations, also referred alternatively as Wolfcamp A and Wolfcamp B. Data integration and analysis shared in this paper help us understand the various geologic controls impacting well productivity, particularly the wide variance observed between the Wolfcamp A and Wolfcamp B formations. Rate transient analysis indicates similar system permeabilities for stimulated wells. However, we observe higher effective fracture half-lengths for upper Wolfcamp wells. Using observations from 3D seismic interpretations (such as pad scale faults) as well as petrophysical and image log data, we highlight the substantial differences in stimulation as we move along the well laterals from the heel toward the toe sections. These differences are further reconciled with observations from zones with high data density at the core locations through stimulated rock, as well as independent data such as microseismic emissions. At the test site, Wolfcamp A was found to be relatively quartz rich with significant heterogeneity whereas Wolfcamp B is richer in clay and organic content. This impacts the geomechanical characteristics of the rock mass with much higher natural fracture density in the shallower interval. Thus, the fracture growth is more uniform in the deeper interval and more heterogeneous with branching likely in upper interval. Increased complexity also leads to consistently better productivity from the wells in the shallower interval as demonstrated from RTA results. This case study is unique because it provides valuable insights from actual sampling of the stimulated zones in hydraulically fractured wells and helps understand impact of various factors that contribute toward variability in well production. The findings from this study provides insights into need for optimization of completion designs in the various Wolfcamp landing zones, such as optimization of cluster or fracture spacing in various Wolfcamp intervals. In addition, it provides a useful template for data collection and research direction in future field test sites of similar nature in unconventional reservoirs.

show abstract

Lessons Learned from the Hydraulic Fracturing Test Site in Xinjiang Conglomerate Reservoirs

Zhang,

Wan,

Fan

et al. 2024

Springer Series in Geomechanics and Geoengineering

View full text Add to dashboard Cite

Stage-Level Data Integration to Evaluate the Fracturing Behavior of Horizontal Wells at the Hydraulic Fracturing Test Site (HFTS): An Insight into the Production Performance

Cited by 7 publications

References 0 publications

A New Modeling Framework for Multi-Scale Simulation of Hydraulic Fracturing and Production from Unconventional Reservoirs

A New Modeling Framework for Multi-Scale Simulation of Hydraulic Fracturing and Production from Unconventional Reservoirs

Diagnostic assessment of reservoir response to fracturing: a case study from Hydraulic Fracturing Test Site (HFTS) in Midland Basin

Lessons Learned from the Hydraulic Fracturing Test Site in Xinjiang Conglomerate Reservoirs

Contact Info

Product

Resources

About