Machine learning - A novel approach of well logs similarity based on synchronization measures to predict shear sonic logs

Ali, Muhammad; Ren, Jun; Ma, Huolin; Pan, Heping; Abbas, Khizar; Ashraf, Umar; Ullah, Jar

doi:10.1016/j.petrol.2021.108602

Cited by 87 publications

(27 citation statements)

References 26 publications

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“…The seismic grid of 2500 km 2 and 62 wells are included to observe the depositional framework on a regional scale within the Hangjinqi area. Several geophysical logs from wells J34, J52, J72, such as gamma-ray (GR), spontaneous potential (SP), deep resistivity (LLD), shallow resistivity (LLS), caliper (CAL), and sonic (DT) are incorporated [37,38]. The interval velocities from well J72 are included to identify the acoustic impedance differences among lithologies of the member-1 of the LSF.…”

Section: Methodsmentioning

confidence: 99%

“…These members are categorized as a first member (P 2 x 1 ), second member (P 2 x 2 ), and third member (P 2 x 3 ) [30] (Figure 2). The tight sandstones of the LSF having low porosity and low permeability act as the main reservoir, comprising coarse-grained pebbly sandstone, coarse-to-fine sandstones, sandy conglomerate and mudstones layers [15,37]. The thick-bedded mudstones of upper Shihezi (P 2 s) and Shiqianfeng (P 3 s) formations act as the main seal rocks [12].…”

Section: Geology Of the Study Areamentioning

confidence: 99%

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Sedimentary Facies Controls for Reservoir Quality Prediction of Lower Shihezi Member-1 of the Hangjinqi Area, Ordos Basin

et al. 2022

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The tight gas reserves in the Hangjinqi area are estimated at 700 × 109 m3. Since the exploration of the Hangjinqi, numerous wells are already drilled. However, the Hangjinqi remains an exploration area and has yet to become a gas field. Identifying a paleo-depositional framework such as braided channels is beneficial for exploration and production companies. Further, braided channels pose drilling risks and must be properly identified prior to drilling. Henceforth, based on the significance of paleochannels, this study is focused on addressing the depositional framework and sedimentary facies of the first member (P2x1) of the lower Shihezi formation (LSF) for reservoir quality prediction. Geological modeling, seismic attributes, and petrophysical modeling using cores, logs, interval velocities, and 3D seismic data are employed. Geological modeling is conducted through structural maps, thickness map, and sand-ratio map, which show that the northeastern region is uplifted compared to northwestern and southern regions. The sand-ratio map showed that sand is accumulated in most of the regions within member-1. Interval velocities are incorporated to calibrate the acoustic impedance differences of mudstone and sandstone lithologies, suggesting that amplitude reflection is reliable and amplitude-dependent seismic attributes can be employed. The Root Mean Square (RMS) attribute confirmed the presence of thick-bedded braided channels. The results of cores and logging also confirmed the presence of braided channels and channel-bars. The test results of wells J34 and J72 shows that the reservoir quality within member-1 of LSF is favorable for gas production within the Hangjinqi area.

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Section: Methodsmentioning

confidence: 99%

Section: Geology Of the Study Areamentioning

confidence: 99%

Sedimentary Facies Controls for Reservoir Quality Prediction of Lower Shihezi Member-1 of the Hangjinqi Area, Ordos Basin

et al. 2022

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“…Several geophysical logs such as gamma-ray (GR), spontaneous potential (SP), deep resistivity (LLD), shallow resistivity (LLS), caliper (CAL), and sonic (DT) logs were incorporated (Ali et al, 2020;Ali et al, 2021). The regional seismic grid of about 2500 km 2 is included to study the distribution characteristics and favorable gas accumulation zones.…”

Section: Methodsmentioning

confidence: 99%

Identification of Favorable Zones of Gas Accumulation via Fault Distribution and Sedimentary Facies: Insights From Hangjinqi Area, Northern Ordos Basin

et al. 2022

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The Hangjinqi area was explored for natural gas around 40 years ago, but the efficient consideration in this area was started around a decade ago for pure gas exploration. Many wells have been drilled, yet the Hangjinqi area remains an exploration area, and the potential zones are still unclear. The Lower Shihezi Formation is a proven reservoir in the northern Ordos Basin. This study focuses on the second and third members of the Lower Shihezi Formation to understand the controlling factors of faults and sedimentary facies distribution, aimed to identify the favorable zones of gas accumulation within the Hangjinqi area. The research is conducted on a regional level by incorporating the 3D seismic grid of about 2500 km2, 62 well logs, and several cores using seismic stratigraphy, geological modeling, seismic attribute analysis, and well logging for the delineation of gas accumulation zones. The integrated results of structural maps, thickness maps, sand-ratio maps, and root mean square map showed that the northwestern region was uplifted compared to the southern part. The natural gas accumulated in southern zones was migrated through Porjianghaizi fault toward the northern region. Well J45 from the north zone and J77 from the south zone were chosen to compare the favorable zones of pure gas accumulation, proving that J45 lies in the pure gas zone compared to J77. Based on the faults and sedimentary facies distribution research, we suggest that the favorable zones of gas accumulation lie toward the northern region within the Hangjinqi area.

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“…That is because fractures play a vital role in enhancing the permeability of reservoirs with the low matrix porosity property (ranging from 2 to 6% based on the logging interpretation). A better understanding of the pores complexity, faults, and fractures in Gaoshiti-Moxi area can lead to better understanding of pore characteristics (Mangi et al 2020) and grain size analysis (Zhang et al 2020(Zhang et al , 2021a(Zhang et al , 2021b, which in turn can be used to develop a rock physics model (Ali et al 2020), hydrocarbon potential assessment (Anees et al 2017;Abbas et al 2019) and to evaluate the porosity (Ali et al 2019(Ali et al , 2021. Nevertheless, highly developed fractures can also be related to the water production of drilled wells (Shahab et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Sweet spots prediction through fracture genesis using multi-scale geological and geophysical data in the karst reservoirs of Cambrian Longwangmiao Carbonate Formation, Moxi-Gaoshiti area in Sichuan Basin, South China

Ren

Zhao

et al. 2021

J Petrol Explor Prod Technol

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Fractures play a vital role in reservoir transformation, but the distribution of faults and fractures is difficult to obtain by observing cores, which ultimately limits the effective development of gas dolomite reservoirs. We propose an integrated method that incorporates thin-section observations, three-dimensional (3D) seismic data, and image logs to interpret the distribution of faults and fractures of Cambrian Longwangmiao Carbonate Formation to predict potential development areas in the Moxi-Gaoshiti area of the Sichuan Basin, South China. Firstly, the faults were well interpreted by using the automatic tracking and 3D visualization technique based on the new seismic combination attribute of symmetry and ant tracking. Secondly, a comprehensive analysis was conducted using the thin sections, paleogeomorphology, and in situ test results to determine the fracture types (corrosion and structural fractures). The results help us to find potential sweet spot zones with good permeabilities, which is of great significance in reducing the risk of water production of drilled wells in the field development.

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Machine learning - A novel approach of well logs similarity based on synchronization measures to predict shear sonic logs

Cited by 87 publications

References 26 publications

Sedimentary Facies Controls for Reservoir Quality Prediction of Lower Shihezi Member-1 of the Hangjinqi Area, Ordos Basin

Sedimentary Facies Controls for Reservoir Quality Prediction of Lower Shihezi Member-1 of the Hangjinqi Area, Ordos Basin

Identification of Favorable Zones of Gas Accumulation via Fault Distribution and Sedimentary Facies: Insights From Hangjinqi Area, Northern Ordos Basin

Sweet spots prediction through fracture genesis using multi-scale geological and geophysical data in the karst reservoirs of Cambrian Longwangmiao Carbonate Formation, Moxi-Gaoshiti area in Sichuan Basin, South China

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