## 1 Introduction  
Well logging is a significant tool that assists geophysscists and geologists with making predictions regarding hydrocarbon reservoirs and provides important information such as rock composition, characteristics, and integrity as well as the presence of fluids and hydrocarbon. The collected data from well logs can be utilized to perform feasibility studies relevant to the physical properties of the area of interest under geophysical work. The oil and gas industries utilize estimated petrophysical parameters from well log data, which is a crucial part of the exploration and production processes [1, 2]. These petrophysical parameters also assist with interpreting the subsurface for detection and estimation of hydrocarbon reservoirs. Furthermore, the oil and gas industries mostly use wireline logging to achieve continuous records regarding formation rock properties [3, 4, 5]. Seismic data interpretation is commonly used for hydrocarbon exploration and development studies [6, 7, 8, 9]. The interpretation of seismic data requires an understanding of the subsurface formations and wave propagation effects. Seismic data consist of reflections that represent the geological structures as well as the reservoir stratigraphy, fabric, and fluid content. [PERSON] et al. [3, 5] presented 2D viscoelastic models of the Ghawar and central fields of Saudi Arabia and created corresponding multi-component synthetic seismic datasets for hydrocarbon seismology exploration. Similarly, petrophysics plays a significant part in the chemical and physical properties of rocks and their internal fluids. Petrophysical data are generally achieved from well logs and can be used for qualitative and quantitative analysis. The evaluation of petrophysical analysis of well logging provides core properties such as lithology, grain size, porosity, water saturation, clay volume, and permeability [10]. Petrophysics plays an important role in seismic interpretation and has experienced a great leap forward in the past 10 years from significant advances in seismic data processing practices, including full waveform inversion, attribute analysis, and amplitude versus offset methods used in the estimation of reservoir properties from pre-stack and post-stack seismic data [7]. The findings of the literature review are summarized in Table 1.  
The main objective of the current research is to interpret the subsurface structure and reservoir characterization of Kabirwala area Tola (01) located in Punjab platform, Central Indus Basin, utilizing 2D seismic and well log data. The study area (Tola (01) well) is in the Central Indus Basin (CIB). The Central Indus Basin (CIB) consists of Punjab Platform, Suleiman Depression (Zindapir Inner Fold Zone, Mari Bugti Inner Fold Zone), along with the Suleiman Fold Belt. As shown in the below Figure 1a, the Tola (01) well is situated in the Kabirwala area near district Multan. The Kabirwala extent is positioned in the Punjab Territory, the geographical coordinates are 30020\({}^{\prime}\)10\({}^{\prime}\) North and 70043\({}^{\prime}\)30\({}^{\prime}\) East. Kabirwala is one of the four tehsils in Khanewal district Multan. It lies in Central Indus Basin Punjab Platform, Pakistan. Five seismic lines--875-KBR-230, 875-KBR-229, 875-KBR-231, 875-KBR221, and 875-KBR-220--and well logs of Tola-01 were used to explain the subsurface structures and demarcation of zones that have fair potential for hydrocarbon accumulation. The main aim is formation evaluation for hydrocarbon potential using the reservoir properties. In addition, time and depth contour maps are generated to delineate lateral extension and closure of the reservoir. Based on well log interpretation, the main aim of petrophysical analysis is to recognize hydrocarbon-bearing zones in the projected study area. The logging data of gamma ray, spontaneous potential, resistivity, neutron, and density were utilized, as shown in Figure 1a. The exploration license of Tola (01) was granted to Oil and Gas Development Company Limited (OGDCL) in June 1992.