This study aims to analyze the lineaments using the field data and a remote sensing approach, to describe their relationship with the folds, faults, and regional tectonic stress of the central Sulaiman Fold-Thrust Belt. Joint data, from nine anticlines, has been collected using the scanline method and classified into three sets (JS1, JS2, and JS3) based on their geometrical relationships. Lineaments extracted from the 30 m digital elevation model have been classified subsequently into three lineament sets (LS1, LS2, and LS3) based on the azimuths from the corresponding joint sets. A very high correlation coefficient (rs = 0.97), between the azimuths of the field joints and the remotely sensed lineaments, has been observed which validates that the lineaments are the regional representation of the local field joints. The geometrical relationship of the lineament sets with the fold hinges indicates that the older LS1 and LS2 are strongly related to the regional folding episode, while the younger LS3 is a result of local shears. The chronological interpretation of the deformational events responsible for the lineament sets is constrained by the presence of the Kingri Fault, which induces a strike-slip component within the study area. Furthermore, the controls on the joint and lineament sets, established using multivariate statistics to decipher the effects of lithological and structural contrasts on the lineament density, reveal that an increase in the lineament density can be attributed to the competence and thickness of the rock units as well as the variable local stresses across the different folds. Based on the orientations of these lineament sets, the cumulative direction of the compressive event in the NW-SE direction (310–320) coincides with the regional stress direction of the SFTB.

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The shale gas potential of the early Cretaceous Talhar shale member of the lower Goru Formation in lower Indus basin of Sanghar district, Sindh province, has been evaluated using 2D seismic and well logs data. Graphical and empirical techniques were applied to calculate various geochemical parameters for the evaluation of shale plays. Total Organic Carbon (TOC) is calculated by Passey's (∆LogR) Overlay technique and its values are about 2.44 wt.%. Vitrinite Reflectance (Ro) is estimated by graphical and empirical relation and the value lies between 0.95-1.0 which implies that the Talhar shale member is in peak oil and initial gas generation phase. Log-derived Maturity Index (LMI) is calculated by NPHI, RHOB or density log and uranium logs. The average value is about 0.55 which reflects that the formation is probably in the initial maturation phase. Kerogen Volume (Vk) is estimated by empirical relation using RHOB log as input and it is about 13 wt. % which reflects that the formation has enough potential of oil/gas expulsion. The results are compared and validated with a study of the adjacent field of the same basin. This study reveals that Talhar member of lower Goru Formation could be the future probable potential unconventional reservoir for exploration in lower Indus basin of Pakistan.

Objective: To Test the utility of toluidine blue staining in the early diagnosis of malignant and premalignant lesions. Materials and Methods: This was a Randomized control clinical trial, carried out at Oral and Maxillofacial Department Gajju Khan Medical College, Bacha Khan Medical Complex, Swabi from 15th April 2019 to 15th April 2020. Twenty two patients with the clinical suspicious lesions were selected. Oral rise was done with 1% acetic acid and later Toluidine blue (1%W/W) was applied with sterile swab stick. Again oral rise was done with normal saline. Colour of the lesion was noted. Later incisional biopsy was taken as gold standard. Results: Total of 22 cases the males were 14(63.6%) and females were 8(36.4%). The sensitivity and specificity of toluidine blue against gold standard of histopathology were 88.89% and 61.54% % respectively. The diagnostic accuracy of toluidine blue was 72.73%. Conclusion: Toluidine blue is very good, effective and simple staining procedure. The staining method is more tolerable by the patient. It may help not only in detecting early dysplastic and malignant lesions but will also help in determining the site of biopsy to be taken.

Seismic post-stack inversion is one of the best techniques for effective reservoir characterization. This studyintends to articulate the application of Model-Based Inversion (MBI) and Probabilistic Neural Networks (PNN) for theidentification of reservoir properties i.e. porosity estimation. MBI technique is applied to observe the low impedancezone at the porous reservoir formation. PNN is a geostatistical technique that transforms the impedance volume intoporosity volume. Inverted porosity is estimated to observe the spatial distribution of porosity in the Lower Goru sandreservoir beyond the well data control. The result of inverted porosity is compared with that of well-computed porosity.The estimated inverted porosity ranges from 13-13.5% which shows a correlation of 99.63% with the computed porosityof the Rehmat-02 well. The observed low impedance and high porosity cube at the targeted horizon suggest that it couldbe a probable potential sand channel. Furthermore, the results of seismic post-stack inversion and geostatistical analysisindicate a very good agreement with each other. Hence, the seismic post-stack inversion technique can effectively beapplied to estimate the reservoir properties for further prospective zones identification, volumetric estimation and futureexploration.