Identification of gas bearing sweet-spots within complex reservoir by integrating modern geophysical measurements -- case studies from upper Assam fields

2022 ◽  
pp. 87-100
Author(s):  
Pradyut Bora ◽  
Ghana Kanta Duarah ◽  
Pankaj Kumar Kakoty
Keyword(s):  
Case Studies ◽  
Gas Bearing ◽  
Geophysical Measurements ◽  
Sweet Spots

scholarly journals Diagenesis and Fluid Flow Variability of Structural Heterogeneity Units in Tight Sandstone Carrier Beds of Dibei, Eastern Kuqa Depression

Geofluids ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-15
Author(s):  
H. Shi ◽  
X. R. Luo ◽  
G. L. Lei ◽  
L. Q. Zhang ◽  
L. K. Zhang ◽  
...  
Keyword(s):  
Structural Heterogeneity ◽  
Gas Production ◽  
Tight Sandstone ◽  
Kuqa Depression ◽  
Core Logging ◽  
Tight Carbonate ◽  
Tight Sand Gas ◽  
Migration Pathways ◽  
Gas Bearing ◽  
Sweet Spots

Tight sand gas plays an important role in the supply of natural gas production. It has significance for predicting sweet spots to recognize the characteristics and forming of heterogeneity in tight sandstone carrier beds. Heterogeneity responsible for spatial structure, such as the combination and distribution of relatively homogeneous rock layers, is basically established by deposition and eodiagenesis that collectively affect the mesogenesis. We have investigated the structural heterogeneity units by petrofacies in tight sandstone carrier beds of Dibei, eastern Kuqa Depression, according to core, logging, and micropetrology. There are four types of main petrofacies, that is, tight compacted, tight carbonate-cemented, gas-bearing, and water-bearing sandstones. The brine-rock-hydrocarbon diagenesis changes of different heterogeneity structural units have been determined according to the pore bitumen, hydrocarbon inclusions, and quantitative grain fluorescence. Ductile grains or eogenetic calcite cements destroy the reservoir quality of tight compacted or tight carbonate-cemented sandstones. Rigid grains can resist mechanical compaction and oil emplacement before gas charging can inhibit diagenesis to preserve reservoir property of other sandstones. We propose that there is an inheritance relationship between the late gas and early oil migration pathways, which implies that the sweet spots develop in the reservoirs that experienced early oil emplacement.

Selecting sweet spots for the exploitation of tight oil reservoirs from logs: case studies

2019 ◽  
Vol 50 (4) ◽  
pp. 396-407
Author(s):  
Zhidi Liu ◽  
Yujiang Shi ◽  
Jinyu Zhou ◽  
Changsheng Wang ◽  
Peng Zhang ◽  
...  
Keyword(s):  
Case Studies ◽  
Oil Reservoirs ◽  
Tight Oil ◽  
Tight Oil Reservoirs ◽  
Sweet Spots

Origins and Integrated Exploration of Sweet Spots in Carbonate and Shale Oil-Gas Bearing Reservoirs of the Timan-Pechora Basin

2014 ◽  
Author(s):  
A.V. Petukhov ◽  
A.I. Kuklin ◽  
A.A. Petukhov ◽  
L.C. Vasquez Cardenas ◽  
P.V. Roschin
Keyword(s):  
Shale Oil ◽  
Pechora Basin ◽  
Oil Gas ◽  
Gas Bearing ◽  
Sweet Spots

scholarly journals Applying of the Artificial Neural Networks (ANN) to Identify and Characterize Sweet Spots in Shale Gas Formations

2018 ◽  
Vol 35 ◽  
pp. 03008 ◽  
Author(s):  
Edyta Puskarczyk
Keyword(s):  
Shale Gas ◽  
Data Set ◽  
Shale Formations ◽  
Geological Interpretation ◽  
Reservoir Conditions ◽  
Kohonen Networks ◽  
Gas Bearing ◽  
Sweet Spots

The main goal of the study was to enhance and improve information about the Ordovician and Silurian gas-saturated shale formations. Author focused on: firstly, identification of the shale gas formations, especially the sweet spots horizons, secondly, classification and thirdly, the accurate characterization of divisional intervals. Data set comprised of standard well logs from the selected well. Shale formations are represented mainly by claystones, siltstones, and mudstones. The formations are also partially rich in organic matter. During the calculations, information about lithology of stratigraphy weren’t taken into account. In the analysis, selforganizing neural network – Kohonen Algorithm (ANN) was used for sweet spots identification. Different networks and different software were tested and the best network was used for application and interpretation. As a results of Kohonen networks, groups corresponding to the gas-bearing intervals were found. The analysis showed diversification between gas-bearing formations and surrounding beds. It is also shown that internal diversification in sweet spots is present. Kohonen algorithm was also used for geological interpretation of well log data and electrofacies prediction. Reliable characteristic into groups shows that Ja Mb and Sa Fm which are usually treated as potential sweet spots only partially have good reservoir conditions. It is concluded that ANN appears to be useful and quick tool for preliminary classification of members and sweet spots identification.

Corporate Sustainability: Challenge to Managerial Orthodoxies

2003 ◽  
Vol 9 (1) ◽  
pp. 2-11 ◽  
Author(s):  
Dexter Dunphy
Keyword(s):  
Case Studies ◽  
Corporate Sustainability ◽  
Central Place ◽  
Marked Contrast ◽  
Sustainability Management

ABSTRACTThis paper addresses the issue of corporate sustainability. It examines why achieving sustainability is becoming an increasingly vital issue for society and organisations, defines sustainability and then outlines a set of phases through which organisations can move to achieve increasing levels of sustainability. Case studies are presented of organisations at various phases indicating the benefits, for the organisation and its stakeholders, which can be made at each phase. Finally the paper argues that there is a marked contrast between the two competing philosophies of neo-conservatism (economic rationalism) and the emerging philosophy of sustainability. Management schools have been strongly influenced by economic rationalism, which underpins the traditional orthodoxies presented in such schools. Sustainability represents an urgent challenge for management schools to rethink these traditional orthodoxies and give sustainability a central place in the curriculum.

Short-Form Application of the Screening Test of Spanish Grammar and the Northwestern Syntax Screening Test to Latino Children

1978 ◽  
Vol 9 (4) ◽  
pp. 220-235
Author(s):  
David L. Ratusnik ◽  
Carol Melnick Ratusnik ◽  
Karen Sattinger
Keyword(s):  
New York ◽  
Case Studies ◽  
Metropolitan Area ◽  
Screening Test ◽  
Normative Data ◽  
Short Form ◽  
Latino Children ◽  
Data Application ◽  
York Metropolitan Area ◽  
Multiple Regression Technique

Short-form versions of the Screening Test of Spanish Grammar (Toronto, 1973) and the Northwestern Syntax Screening Test (Lee, 1971) were devised for use with bilingual Latino children while preserving the original normative data. Application of a multiple regression technique to data collected on 60 lower social status Latino children (four years and six months to seven years and one month) from Spanish Harlem and Yonkers, New York, yielded a small but powerful set of predictor items from the Spanish and English tests. Clinicians may make rapid and accurate predictions of STSG or NSST total screening scores from administration of substantially shortened versions of the instruments. Case studies of Latino children from Chicago and Miami serve to cross-validate the procedure outside the New York metropolitan area.

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