Correlation and sequence stratigraphic interpretation was conducted on the upper Lower through upper Middle

Devonian sandstones of the Snake Cave Interval succession between the southeast Blantyre and northwestern

Neckarboo sub-basins across the central Darling Basin. This article necessitated the definition and use of many

sedimentary lithotypes related to different facies associations and depositional environment criteria for the

purpose of establishing the sequence stratigraphy to aid hydrocarbon exploration of the studied areas. The data

set used a combination of wireline logs, core/cutting data and analysis of the paleo-environments of sedimentary

facies from three wells. The sedimentological analysis showed that the Snake Cave Interval section presents three

different facies associations, which are visible in both vertical and lateral successions, and are characterised as:

meandering and braided fluvial facies associations with minor fluvio-shallow lacustrine complex facies associations.

The Snake Cave Interval section in the studied areas is consistently defined by six third-order depositional

sequences informally named SCS1, SCS2, SCS3, SCS4, SCS5 and SCS6 in the Nyngynderry-1 and Mount Emu-1

exploration wells, and the Kewell East-1 stratigraphic well. All the stratal patterns in the internal sequence

stratigraphic units are asymmetric and marked by lowstand, transgressive and highstand systems tracts separated

by sequence boundaries, maximum flooding surfaces and transgression surfaces with unique gamma-ray log

response characteristics calibrated by particular lithologic aspects. These are all incorporated within the

sequence stratigraphic approach to hydrocarbon reservoir prediction. The stratigraphic architecture of the thirdorder

depositional sequences presented here in our study has implications for the hydrocarbon potential of

sandstone reservoirs in the southeastern Darling Basin including the Snake Cave Interval succession targets.

For Arabic letters recognition, we achieve three of pattern recognition approaches namely gray level co-occurrence matrix (GLCM), local binary pattern recognition (LBP) and artificial neural network (ANN) and compare between them to result best performance. Two of these methods level co-occurrence matrix and local binary pattern recognition are used for feature extraction whereas in artificial neural network (ANN) we use the intensity values of pixels for input of the neural network. Two classifiers are used, the K-Nearest Neighbor classifier (KNN) for the LBP, GLCM and neural network classifier for (ANN) artificial neural network. Also, we evaluate the results by using leave one person out approach, fold classification and leave one out.

ABSTRACT

In the 21st century, climate change is considered one of the greatest environmental threats to the world, and it has greater negative impacts on human society and the natural environment. All the IPCC's reports concluded that we should prepare scenarios and strategies for under the conditions of forthcoming global change. This study presents the projections of future changes under HadCM3 A2a and HadCM3 B2a SRES scenarios using the statistical downscaling model (SDSM) in the period (2020-2099) and their link to the planning of sustainable development in Libya. Results of downscaling show that the SDSM model can be well acceptable regard its performance. The result of the SDSM model showed great reliability of SDSM in ascertaining changes for the periods; (2020-2039), (2040-2059), (2060-2079) and (2080-2099), relative to 1961–1990. Trend analysis in Libya showed an increase in average annual and monthly temperature, compared to the baseline period for both HadCM3A2a and HadCM3B2a scenarios in both the dry and wet seasons. Thus, there is likely to be a significant warming in local surface temperature, which is enough for a significant change on the energy balance and is likely to affect water availability. The SDSM is well to help decision-makers understand the expectations of the change in extreme temperatures in the future and its environmental and economic impacts and social in Libya.

Keywords: Statistical downscaling model, SDSM, Intergovernmental Panel on Climate Change IPCC, General circulation model, GCM, HadCM3 Hadley Climate Model version, Temperature, Libya.

A strengths, weaknesses, opportunities, and threats (SWOT) analysis has become a key tool used

by businesses for strategic planning. Scholars have conducted SWOT research for over six

decades. However, a collective understanding of SWOT analysis remains vague. This study

accessed, analyzed, and synthesized the SWOT literature, allowing for new theoretical

perspectives and frameworks to emerge. Using an integrative literature review, this study reviewed

SWOT studies historically, providing a greater understanding of the SWOT analysis in different

sectors and the different approaches used in SWOT studies. Furthermore, it fills the knowledge

gap in the strategic planning context and indicates meaningful implications for managers that could

help improve their strategic decisions.

Detailed sedimentological analysis of depositional facies through lithostratigraphic correlation was conducted for the upper

Lower Devonian through the upper Middle Devonian Snake Cave Interval strata of the southeast Darling Basin. The methodology

used includes identifying changes in rock types from sedimentary lithotypes within different facies associations from well

data, wireline-log patterns and palaeoenvironmental reconstruction. This has helped to define a lithostratigraphic correlation for

the Snake Cave Interval section. This study has re-interpreted the upper and lower boundaries of the Snake Cave Interval using

marked changes in gamma-ray log features and core and cutting lithology logs to estimate the depth of these boundaries from

three wells. The Snake Cave Interval consists of ten lithotypes that define three facies associations (FAs) in the three available

wells. These were deposited within three main facies associations: meandering fluvial facies association A (MFFA-A), braided

fluvial facies association B (BFFA-B) and fluvio-shallow lacustrine complex facies association C (FSLCFA-C). The paper

includes a broad description of the significance of lithostratigraphic facies related to depositional environments of the upper

Lower Devonian through the upper middle Devonian succession section.