Deep Areas Research Articles

Spatial Spillover Effects of Urbanization on Ecosystem Services under Altitude Gradient

Rapid urbanization has made mountain development an important means to alleviate the shortages of construction land on plains, which has significantly affected regional ecosystem services. In-depth research on the impact of urbanization on ecosystem services under altitude gradients is of great significance to clarify the relationship between the two. Based on data from 2000, 2010 and 2020, the urbanization level and ecosystem services of the study area were evaluated. The spatial correlation of ecosystem services was analyzed by Moran’s I. A spatial Durbin model (SDM) was selected to fit the regression. The results show that (1) from 2000 to 2020, the ecosystem services in the study area displayed obvious regional characteristics and aggregation characteristics; (2) in plain areas, the indirect effects of economic, population and land urbanization have a greater negative impact, and compared with shallow mountain areas, deep mountain areas are more negatively affected by economic urbanization and land urbanization; and (3) the significant difference in regression results reflects the rationality of using the spatial Durbin model, as in this paper, and proves the scientific nature of regional coordinated development. The research results provide a reference for the future coordinated development of regional economies and environments.

Regional assessment of the ultra-deep geothermal (UDG) reservoir quality and potential of the Dinantian Zeeland Formation, the Netherlands

Abstract Dinantian carbonates in the NW European Carboniferous Basin (NWECB) in the Netherlands form a target for ultra-deep geothermal (UDG) exploration. The NWECB was a deep water area with shallow water attached carbonate systems in the southwestern Netherlands and isolated carbonate platforms nucleated on horsts in the northern part of the Netherlands. Carbonate platforms in the SW Netherlands contain intra-Dinantian, sub-Namurian and sub-Cretaceous karst systems with irregular cavities, enlarged fracture systems and collapse breccias with relict porosity. Isolated carbonate platforms in the northern Netherlands were not affected by sub-Namurian or sub-Cretaceous karst but contain petrophysical anomalies interpreted as intra-Dinantian karst or fracture systems. The matrix reservoir quality of Dinantian limestones is generally poor but has been improved by a phase of regional dolomitization that affects the lower parts of both isolated and attached carbonate platforms. Dolomitization took place during burial and was associated either with late Carboniferous to early Permian burial or a thermal event during the middle to late Jurassic. Additional reservoir quality is present in a system of hydrofractures in late Tournaisian ramp carbonates in the SW Netherlands that post-date dolomitization; the fracture system may have formed during late Jurassic basin inversion. Present heat flow indicates that two isolated carbonate platforms in the northern Netherlands are buried to sufficient depth to be considered as potential UDG exploration targets. Attached carbonate systems in the SW Netherlands are too shallow to have been heated to the temperature required for industrial applications or for generating electricity from geothermal energy.

Design and Development of a Cost-Effective Transnasal Skull Base Bone Wax Applicator: A Technical Note.

Bone wax is an important hemostatic agent used in neurosurgical practice from more than a century. It acts by mechanical tamponade effect to stop the oozing from cancellous bone. Bone wax application over the skull surface over the vertex is easy and can be applied with fingers. In deeper areas, one uses dissector to apply the bone wax; however, it becomes difficult at times to apply in transnasal surgery using the same dissectors. Author designed a cost-effective 20-cm-long different angled bone wax applicator for skull base transnasal surgery. This applicator is cost-effective and not described previously in English literature.

Laser interstitial thermal therapy in neurosurgery: a single-surgeon experience of 313 patients.

Real-time MRI-guided focused laser interstitial thermal therapy (LITT) is a minimally invasive surgical treatment choice for challenging intracranial lesions that are either resistant to conventional therapies or located in deep or critical areas of the brain. However, existing studies on LITT within surgical neuro-oncology are relatively small and have limited follow-up periods. The authors aimed to present a comprehensive analysis of their experiences with LITT in surgical neuro-oncology, with the intent to provide a clearer understanding of the safety and efficacy of this procedure. This study was an exploratory cohort analysis encompassing all patients who underwent LITT for brain tumors at a single center between 2013 and 2023. The primary focus was extent of ablation (EOA), time to recurrence (TTR), and overall survival (OS). Secondary outcomes, including the rate of complications, were also evaluated. Comparative analyses were conducted based on lesion subtypes, and factors predicting outcomes were identified. Three hundred thirteen patients underwent LITT procedures. During a mean follow-up of 10.4 months, 66.8% of patients remained alive and 26.2% of the ablated lesions recurred. The mean age of the cohort was 60.4 ± 13.3 years (58.5% female). The lesion subtypes that were treated comprised metastases (30%), glioblastoma (GBM; 41.6%), low-grade glioma (9.1%), radiation necrosis (11.4%), and meningioma (2.2%). The permanent neurological deficit rate was 14% (n = 44), with 25 (8%) of them new-onset deficits and 19 deficits (6.1%) that were present preoperatively and did not resolve after LITT. The mean TTR and OS were 12.2 and 38.1 months, respectively. TTR and OS varied significantly by lesion subtype (p < 0.001, log-rank analysis). A high-grade lesion was identified as the single factor linked to tumor recurrence. Age, high-grade lesion, preoperative lesion volume, and readmission within 30 days were identified as factors significantly associated with OS in the multivariable Cox regression analysis. EOA > 100% predicted longer OS in metastases and GBM by log-rank analysis. LITT stands as a secure and feasible ablative treatment choice for intracranial lesions, potentially suitable for specific patient cases otherwise not amenable to surgical intervention. These findings further corroborate the safety of the procedure and its favorable outcomes, underscoring its potential significance in clinical practice.

Prediction of the undrained base heave and post uplift in braced excavation of a typical subway station in thick soft clay

Construction of a typical subway station usually involves a narrow long excavation with a width of approximately 20 m. An undrained base heave is a common problem in deep excavation areas with soft clay, which may induce considerable post uplift and damage the safety of the retaining system. Post uplift involves complex interactions between soil, pile post foundation, and supported struts, and an accurate prediction of post uplift is challenging. This paper aimed to establish a practical method for predicting the base heave and post uplift in the construction of typical subway stations in areas with thick soft clay. Series soil–water coupled finite element method (FEM) analysis was conducted to investigate the characteristics of the base heave with different soil properties and wall stiffnesses. The results showed that the calculated base heave can be fitted by a normalized function, regardless of large variations in soil properties and wall design parameters. The normalized function was then applied to a soil–post–strut interaction analysis model to predict the post uplift at different excavation depths. The application of the proposed method to a real subway station project showed that the predicted results were in good agreement with the field observations.

Modeling the fate of microplastics in the Sengkarang Estuary, Pekalongan City, Central Java, Indonesia

AbstractPlastic‐containing waste generated from industrial and household activities is usually discharged into rivers. Pekalongan Regency has several rivers that flow into the Java Sea, one of which is the Sengkarang River. Microplastic is a serious pollutant that has prompted enhanced research and experimentation. This study aims to determine the concentration and distribution of microplastics in water and sediment at the mouth of the Sengkarang River, Pekalongan. A total of 10 water samples and five sediment samples were collected from the river body to the deep water area around the Sengkarang River. Modeling of microplastic distribution is made using hydrodynamic modeling and particle tracking models using two‐dimensional mathematical model. The results showed that the abundance of microplastics ranged from 131 to 360 particle/m3 in water samples and 552.5–972.5 particle/kg in sediment samples. The most common types of microplastics found were fibers and fragments. The greatest abundance and distribution of microplastics are found in coastal areas in water samples and mangrove areas in sediment samples. The distribution of microplastics is influenced by tidal currents, wind directions, and also river water discharge.

Research and application of small-diameter hydraulic fracturing in situ stress measurement system

Abstract. Observation and estimation of the stress state in the deep crust is a crucial challenge in in situ stress measurement work. The hydraulic fracturing method is an important borehole-based technique for absolute in situ stress measurement. The small-diameter hydraulic fracturing in situ stress measurement system described in this article consists mainly of underground measurement components (serial small-diameter packers and dual-circuit connecting installation rods) and surface control components (hydraulic fluid control system, data acquisition system, and high-pressure oil pump with controllable flow). It enables series measurement of small-sized boreholes for in situ stress and provides a maximum measurement range of 30–45 MPa. The subsequent calculation of in situ stress data adopts a uniform design method to discuss the influence of various external factors on rock fracturing values. The small-diameter hydraulic fracturing in situ stress measurement system has the advantages of simple and lightweight structure, short testing time, high success rate, and low requirements for rock integrity and pressurization equipment. It has formed a series of small-diameter in situ stress measurement equipment which has been innovatively promoted to the field of underground tunnel safety assessment in coal mines and metal mining areas. It has an important practical value and economic significance in accurately determining the in situ stress state of deep development areas.

A systematic review and meta-analysis of the preclinical and clinical results of low-field magnetic stimulation in cognitive disorders.

Cognitive disorders such as major depressive disorder and bipolar disorder severely compromise brain function and neuronal activity. Treatments to restore cognitive abilities can have severe side effects due to their intense and excitatory nature, in addition to the fact that they are expensive and invasive. Low-field magnetic stimulation (LFMS) is a novel non-invasive proposed treatment for cognitive disorders. It repairs issues in the brain by altering deep cortical areas with treatments of low-intensity magnetic stimulation. This paper aims to summarize the current literature on the effects and results of LFMS in cognitive disorders. We developed a search strategy to identify relevant studies utilizing LFMS and systematically searched eight scientific databases. Our review suggests that LFMS could be a viable and effective treatment for multiple cognitive disorders, especially major depressive disorder. Additionally, longer, more frequent, and more personalized LFMS treatments tend to be more efficacious.

Numerical Multifield Coupling Model of Stress Evolution and Gas Migration: Application of Disaster Prediction and Mining Sustainability Development

At present, coal mining is gradually shifting towards deep areas, and coal mines under deep mining conditions are more prone to coal and gas outburst accidents. In this research, we aim to explain the causes and mechanisms of dynamic disasters, which are caused by the combined action of static load, gas, and dynamic load on tectonic regions in complex stress field environments. Through numerical simulation using COMSOL Multiphysics software, based on the geological conditions of a mine in Jilin Province, it was found that faults lead to abnormal stress in tectonic regions. The combined action of dynamic and static loads results in excessive stress, causing the fragmentation and displacement of the coal body, leading to coal mine disasters, thus disrupting sustainability. Additionally, the coal matrix gas entering fractures raises the gas pressure and leads to the accumulation of methane near earthquake sources. Dynamic loads accelerate gas desorption in coal and increase porosity and permeability, facilitating rapid gas migration. This influx of gas into the roadways exceeds safety limits. Then, based on these findings and on-site conditions, a set of sustainable measures for coal mines has been proposed. This research offers theoretical guidance for enhancing safety, stability, and sustainability in coal mining processes.

Microalgal assemblages response to water quality remediation in coastal waters of Perth, Australia

Nutrient reduction is an essential environmental policy for water quality remediation, but climate change can offset the ecological benefits of nutrient reduction and lead to the difficulty of environmental evaluation. Here, based on the records of three lipid microalgal biomarkers and stable isotopes of carbon and nitrogen in two sediment cores from the embayment of Perth, Australia, we reconstructed the microalgal biomasses (diatoms, dinoflagellates and coccolithophores) over the past century and evaluated the ecological effects of nutrient reduction on them, using Change Point Modeling (CPM) and redundancy analysis (RDA). The CPM result showed that total microalgal biomarkers increased by 25% and 51% in deep and shallow areas, respectively, due to nutrient enrichment caused by industrial wastewater in the 1950s and the causeway construction in the 1970s, and dinoflagellates were beneficiaries of eutrophication. The nutrient reduction policy since the 1980s had not decreased total microalgal biomass, and diatoms were beneficiaries of this period. RDA based on time series of sediment cores and water monitoring data revealed that the increase of sea-surface temperature and the decrease of rainfall since the 1980s may be important factors sustaining the high total microalgal biomass and increasing the degree of diatom dominance. The result also indicated that the variations of microalgal assemblages may better explain the effect of nutrient reduction rather than total microalgal biomass.

Short-Wavelength Infrared Characteristics and Indications of Exploration of the Jiawula Silver–Lead–Zinc Deposit in Inner Mongolia

For the Jiawula lead–zinc deposit, as easily accessible resources become depleted, mines are becoming deeper to replenish ore reserves. Identifying large, continuous, and high-grade ore bodies in deep areas has become a daunting problem. Moreover, separating lead–zinc-bearing complex ore bodies from waste material and extracting them from associated minerals are also difficult. Thus, pioneering exploratory strategies and technological methodologies are required to make breakthroughs in mineral discovery. Based on extensive-scale structural lithofacies mapping, this paper uses short-wave infrared (SWIR) spectroscopy technology to investigate hydrothermal alteration minerals in the mining area. It has identified a total of 16 hydroxyl-bearing alteration minerals, including chlorite, muscovite, illite, calcite, ankerite, kaolinite, and smectite. These minerals establish zoning characteristics around the ore bodies and on their flanks. They comprise a segmented assemblage that follows the pattern of comb-textured quartz–illite–chlorite–carbonate → muscovite–illite–chlorite–ankerite → illite–smectite–chlorite → chlorite–kaolinite–calcite. Deep-zone illitization with a lower Al–OH absorbance peak wavelength (&lt;2206 nm) and higher crystallinity indices (&gt;1.1) and chloritization with higher Fe–OH absorbance peak wavelengths (&gt;2254) and higher crystallinity indices (&gt;3.0) are indicators of potential hydrothermal centers in the deeper regions. By finding hydrothermal centers and connecting their spatial distribution with existing ore bodies, a pertinent relationship between diabase + andesite, Fe-chlorite + illite, and high-grade mineralization has been established. They correspond well with the lithology-alteration mineralization. This research provides a basis for predicting the positioning of concealed ore bodies deep inside a mine or at the periphery.

LIFU/MMP-2 dual-responsive release of repurposed drug disulfiram from nanodroplets for inhibiting vasculogenic mimicry and lung metastasis in triple-negative breast cancer

BackgroundVasculogenic mimicry (VM), when microvascular channels are formed by cancer cells independent of endothelial cells, often occurs in deep hypoxic areas of tumors and contributes to the aggressiveness and metastasis of triple-negative breast cancer (TNBC) cells. However, well-developed VM inhibitors exhibit inadequate efficacy due to their low drug utilization rate and limited deep penetration. Thus, a cost-effective VM inhibition strategy needs to be designed for TNBC treatment.ResultsHerein, we designed a low-intensity focused ultrasound (LIFU) and matrix metalloproteinase-2 (MMP-2) dual-responsive nanoplatform termed PFP@PDM-PEG for the cost-effective and efficient utilization of the drug disulfiram (DSF) as a VM inhibitor. The PFP@PDM-PEG nanodroplets effectively penetrated tumors and exhibited substantial accumulation facilitated by PEG deshielding in a LIFU-mediated and MMP-2-sensitive manner. Furthermore, upon exposure to LIFU irradiation, DSF was released controllably under ultrasound imaging guidance. This secure and controllable dual-response DSF delivery platform reduced VM formation by inhibiting COL1/pro-MMP-2 activity, thereby significantly inhibiting tumor progression and metastasis.ConclusionsConsidering the safety of the raw materials, controlled treatment process, and reliable repurposing of DSF, this dual-responsive nanoplatform represents a novel and effective VM-based therapeutic strategy for TNBC in clinical settings.Graphical

Numerical Investigation of Stratified Slope Failure Containing Rough Non-Persistent Joints Based on Distinct Element Method

To address the critical issue of slope stability in jointed rock masses with complex and rough structural planes, a rough joint network model using the Fourier transform was proposed and applied to the Shilu open pit mine. The on-site structural plane survey results were combined with MATLAB and PFC2D to establish numerical models for slope stability analysis considering both linear-jointed and rough-jointed rock slopes. By comparing the slip body and fracture distribution, it was found that the rough-jointed slope was stabler than the linear-jointed slope. In addition, the fracture patterns and slip displacement were significantly influenced by the inclination and undulation of the bedding planes. Slip failure patterns occurred when the angle of inclination was set at 60°. The joints played a crucial role in inducing the shear strength of slope rock masses, and the slide area was mainly observed in the shallow slope surface for inclination angles of 0° and 45°, and in the middle deep area for 60° and 90°. These results demonstrated the importance of considering rough non-persistent fractures when developing a new numerical model for slope failure modes.

Fine evaluation of ecological service functions in alpine and deep valley regions: A case study of the southeast Tibetan Plateau

Refined evaluation of ecosystem service functions in deep valleys in high mountain areas is an important means of precise protection of ecosystems. As the population continues to increase, human needs and demands on ecosystems continue to increase, and deep valleys in high mountain areas with good ecological integrity face the risk of development, it is urgent to balance protection and development and carry out precise protection of ecosystems. Based on the principles of typicality, specificity, feasibility and sustainability, this paper constructs an evaluation system for the ecosystem service function of the alpine deep valley area, consisting of 12 indicators from four aspects: Regulating functions, Provisioning functions, Supporting functions and Cultural functions. The Entropy Weight method was used to assign the weights of the relevant indicators in a hierarchical manner, and to complete the evaluation of the importance of ecosystem service functions and the importance zoning of the southeastern Tibetan Plateau. The results showed that: the importance of the ecosystem service functions of the Southeast Tibetan Plateau gradually decreases from southwest to northeast; the extremely important area is mainly distributed in the forest ecosystems with good originality and integrity in the south, accounting for 2.61% of the total area of the region, which needs to focus on ecological protection; the slightly important area is mainly distributed in the northern high altitude area with low vegetation cover and weak soil and water conservation capacity and grassland ecosystem, accounting for 58.89% of the total area of the region, which can be prioritized for development. The results of the study provide new ideas for precise protection of ecosystems and resolution of conflicts between ecological protection and development, as well as for the planning of functional areas for ecosystem services in deep valleys of high mountains, and also provide scientific references for regional sustainable development.

The wash zone and habitat use among three benthic fish species in stratified lakes

AbstractMixing processes in lakes are important in determining sedimentation zones and in setting the so‐called “wash zone”, the area of lake bottom in contact with an oscillating thermocline during wind‐driven internal seiche events. The wash zone also aligns with a sharp change in sediment roughness and hardness. Taken together, these rapid changes in temperature and sediment indicate that the wash zone is a distinctive ecotone in stratified lakes. Depth stratified randomised netting was used to develop count‐based habitat use models for three common benthic fish species as a function of depth or temperature covariates. Using data from two lakes with quite different wash zone depths, we show the wash zone to describe fish habitat for two of three benthic fish species by utilising the top 50% of estimated fish abundance as an indicator of habitat use. White sucker (Catostomus commersoni) habitat use was within the boundaries of the wash zone. Lake whitefish (Coregonus clupeaformis) habitat was adjacent and within the wash zone. Longnose sucker (C. catostomus) habitat use was in the deep areas of lakes dominated by sediment focusing and did not overlap white sucker. Lake whitefish habitat use overlapped both catostomids, but peak abundance of both lake whitefish and white sucker overlapped pointing to potential interactions between these species. Smaller lakes have less vigorous mixing processes and a narrower wash zone, so with a decline in lake size the likely area of the wash zone as habitat for benthic feeding fish would become smaller.

Crustal conductivity footprint of the Miocene porphyry copper polymetallic deposits in the Gangdese metallogenic belt, Tibetan Plateau

New evidence worldwide has linked the surface locations of mineral deposits and their crustal-scale electrical conductivity footprint. We examine the relationship between the Gangdese Miocene porphyry copper deposits, Tibetan Plateau, and the electrical conductivity signature from a three-dimensional model generated from 311 magnetotelluric measurements. The distribution of electrical resistivity throughout the crust and the conductance within the mid-lower crust (depth range of 25–70 km) is analyzed. The results clearly show that the large and ultra-large Miocene porphyry copper deposits coincide spatially with conductive zones and areas of very-high conductance (>10,000S) in the mid-lower crust. Computations are undertaken to determine the influence of water-bearing silicate melts and alkali-bearing (Na+ and K+) fluids on conductivity. Based on this, the bulk conductivity is interpretated to be caused by a system of alkali-rich volatile-rich partial melt. The alkali-rich volatile-rich magmatic-hydrothermal fluids facilitate the migration and concentration of metal ions originating in deep areas. The volumes necessary are much less than partial melt alone and can thus help to reconcile large conductivity variations with small seismic velocity variations. The electrical structure indicates the magma source area of anatexis in the lower crust, a multi-stage magmatic system with large mid-crustal and small upper-crustal magma reservoirs, and complex pathways related to rift zones. We determine that the conductive zones in the mid-lower crust have an influence on the development of the mineralization and the location of the mineral belt.

Population-level insights into temporal interference for focused deep brain neuromodulation.

The ability to stimulate deep brain regions in a focal manner brings new opportunities for treating brain disorders. Temporal interference (TI) stimulation has been suggested as a method to achieve focused stimulation in deep brain targets. Individual-level knowledge of the interferential currents has permitted personalizing TI montage via subject-specific digital human head models, facilitating the estimation of interferential electric currents in the brain. While this individual approach offers a high degree of personalization, the significant intra-and inter-individual variability among specific head models poses challenges when comparing electric-field doses. Furthermore, MRI acquisition to develop a personalized head model, followed by precise methods for placing the optimized electrode positions, is complex and not always available in various clinical settings. Instead, the registration of individual electric fields into brain templates has offered insights into population-level effects and enabled montage optimization using common scalp landmarks. However, population-level knowledge of the interferential currents remains scarce. This work aimed to investigate the effectiveness of targeting deep brain areas using TI in different populations. The results showed a trade-off between deep stimulation and unwanted cortical neuromodulation, which is target-dependent at the group level. A consistent modulated electric field appeared in the deep brain target when the same montage was applied in different populations. However, the performance in terms of focality and variability varied when the same montage was used among populations. Also, group-level TI exhibited greater focality than tACS, reducing unwanted neuromodulation volume in the cortical part by at least 1.5 times, albeit with higher variability. These results provide valuable population-level insights when considering TI montage selection.

Đặc điểm vi xuất huyết não và nguy cơ chuyển dạng xuất huyết ở bệnh nhân nhồi máu não cấp có điều trị tái thông

Objective: Evaluate the characteristics of cerebral microbleeds and factors related to hemorrhagic transformation in patients with acute cerebral infarction undergoing revascularization treatment at University Medical Center, Ho Chi Minh City. Subjects and methods: Cross-sectional descriptive study combined with medical record monitoring on 79 patients diagnosed with acute cerebral infarction who were admitted and treated at the Department of Neurology, University Medical Center, Ho Chi Minh City. Results: Patients with microhemorrhage (VXH) accounted for 37.97%. The number of 1-4 VXH accounted for the highest rate of 31.65%, only 01 case had more than 10 VXH, accounting for 1.27% %. The location of social lesions is mainly in the deep brain area, accounting for 21.52%. There is an association between VXH and dyslipidemia with p = 0.16 (OR 4.12, CL 1.14-18.47), white matter pathology according to Fazekas classification with p = 0.041. The main complications of hemorrhagic transformation after revascularization are HI, accounting for 26.58%, followed by PH, accounting for 6.33%, and ICH+, accounting for 3.8%. There is an association between Glasgow scale (OR = 1.66, CI 0.79 - 3.51) with symptomatic ICH and PH with p &lt; 0.05. Found an association between NIHSS Scale and ICH with p = 0.037 (OR = 5.46 CI 1.10 – 19.00). There is not enough evidence to conclude about the relationship between the number and location of microbleeds and complications of hemorrhagic transformation after revascularization. Conclusion: VXH is not a factor to delay recanalization interventions in acute myocardial infarction patients with indications for intervention. Patients at high risk of multiple VHs should have an MRI scan before intervention.

Geophysical electrical potential inversion for grouting remote monitoring of coal mine double-layered wellbores

This work aims to remotely monitor the grouting process of double-layered wellbores in deep coal mining area by proposing a new geophysical electrical potential inversion imaging method. The proposed geophysical method is able to evaluate the grouting quality between the inner and outer walls of the wellbores by inverting the geologic electrical potential. Th challenge lies here in the potential inversion is that the thickness of the grouting space is extremely narrow when comparing with the wellbore diameter. To solve this problem, a constrained inversion model is developed to precisely generate the three-dimensional (3D) resistivity distributions of the double-layered wellbore based on the measured geologic electrical potential. A special designed test platform is constructed and experimental tests have been conducted to examine the performance of the proposed geophysical inversion imaging method. The geologic electrical potential of the grouting space is measured and remotely transmitted to the ground processing center; and the constrained inversion model is applied to the geologic signals to calculate the resistivity distributions at different grouting stages and produce the 3D geophysical images. The analysis results suggest that the present geophysical monitoring method can effectively visualize the grouting to evaluate the construction quality of the wellbore.

Estimating elastic properties of sediments by pseudo-wells generation utilizing simulated annealing optimization method

The hydrate concentration model considerably affects elastic properties, including bulk and shear modulus. Defining seismic properties of sediments, such as compressional and shear wave velocity and density, provides valuable information to identify rock facies and fluid types. This information commonly results from pre-stack seismic inversion, while post-stack seismic information provides acoustic impedance as a layer-based property. Traditionally, seismic inversion requires well logs to produce an initial guess of inversion routines and provide a low-frequency part of the amplitude spectrum. Eventually, seismic inversion methods could not be performed in the areas without well-log data, such as deep sea areas. In such cases, pseudo-well logs derived from pre-stack seismic data are a solution. Pseudo-well generation is a title used to estimate the elastic parameters of sediments in areas, such as deep marine environments, where drilled wells are absent or sparse. Metaheuristic optimization algorithms are suitable tools for minimizing the cost function as they best match real and synthetic seismic data. In this study, the SEAM earth model has been used as a reference to investigate the quality of pseudo-well generation utilizing a simulated annealing (SA) algorithm as an optimization method of property model change, which minimizes the cost function of seismic inversion. As a result, considering an initial model type of the SEAM model, simultaneous seismic inversion introduced the best compressional and shear wave velocities and density logs, which provide the best real and synthetic seismic data match when synthetic data is calculated from the simplified Zoeppritz equation.