●    Drilling methods involved a combination of Reverse Circulation (RC), Diamond Core (DD), and auger drilling methods. RC drilling was primarily used for delineating near-surface mineralisation and preliminary resource definition. RC drilling employed face-sampling hammers with bit sizes ranging from 5¼ to 5¾ inches. Dry drilling was the standard procedure, with drilling halted at the water table to prevent contamination from wet samples; below groundwater, diamond drilling methods were applied.

●    Diamond core drilling used HQ and NQ diameter core. Triple-tube systems were implemented in highly broken ground to maximise core recovery, while standard double-tube setups were used elsewhere. Orientation of diamond core was conducted selectively using Reflex ACT II core orientation devices to facilitate structural logging. Auger drilling was utilised for shallow exploration across areas with thick laterite cover. All drill methods were executed to a high standard with contractors experienced in gold exploration in West Africa.

●    Comprehensive geological and geotechnical logging was undertaken for all drillholes including RC and DD. Drillholes were logged systematically for a range of key geological attributes: lithology, alteration, mineralisation, texture, structure, weathering, and rock quality designation (RQD). RC samples were logged visually on site, with geological observations recorded both digitally and on physical log sheets where applicable. Diamond core was logged in greater detail, particularly for structural geology, alteration styles, mineral assemblages, and vein relationships, providing critical inputs for 3D geological modelling.

●    Photographic records were maintained for all diamond drill core - photographed both wet and dry - before sampling. Logging captured sufficient detail to support resource estimation, mining studies, and metallurgical investigations. Logging procedures included the use of a standardised lithological and alteration coding scheme to ensure consistency across the drilling campaigns. Digital capture of logging data into a centralised database with validation rules also enhanced data reliability.

●    Assay methodologies were based on internationally recognised standards and utilised reputable laboratories. All drill samples were primarily analysed for gold using 50 g fire assay with atomic absorption spectroscopy (AAS) or inductively coupled plasma atomic emission spectroscopy (ICP-AES) finish. In cases where assays exceeded 10 g/t Au, samples were re-analysed using a gravimetric finish to improve accuracy. For some RC and trench samples, particularly those with coarse gold, photon assay techniques were trialled to validate fire assay results.

●    Quality control procedures were rigorous. Certified reference materials (standards), field blanks, and field duplicates were inserted into the sample stream at regular intervals - approximately one QAQC sample every 20 to 30 samples. Laboratory duplicates, internal standards, and blanks were also monitored. QAQC data were routinely reviewed to ensure analytical accuracy and precision. Failures (e.g., a standard outside 3 standard deviations) triggered immediate re-assay of sample batches. No significant long-term bias or drift was observed across the assay dataset. Laboratories involved (Bureau Veritas, Abidjan and SGS, Ouagadougou) are ISO/IEC 17025 accredited, ensuring laboratory practices are consistent with industry best practice.

●    Drillhole collar locations were surveyed using a combination of differential GPS (DGPS) systems and total station surveying where higher precision was required. The DGPS surveys were conducted by trained field surveyors to ensure location accuracy suitable for Mineral Resource estimation, with horizontal and vertical accuracy generally within ±0.2 m. In areas of rugged topography or logistical difficulty, survey-grade handheld GPS units were temporarily used during initial exploration stages (soil sampling, auger drilling, trenching), but were later replaced with DGPS surveys for all critical drill collars.

●    Elevation data were tied into the Nivellement Général de Côte d'Ivoire (NGCI) vertical datum. A topographic digital terrain model (DTM) was produced using high-resolution satellite imagery and ground-truthing, which was used for both resource modelling and mine planning. Grid systems used were WGS84, Zone 30N for initial exploration and UTM Zone 30N (WGS84 projection) for final resource definition.

●    Drilling programs were designed to target mineralised structures as close to perpendicular as possible to the interpreted dip of mineralisation at each deposit. Most drillholes were oriented towards the southeast or southwest with an inclination of -50° to -60°, depending on the local structural orientation of gold-bearing zones. The mineralisation is generally hosted in north-northeast trending structures dipping moderately to steeply to the east or west, making these drill orientations appropriate to intersect mineralised zones at reasonable angles and to minimise bias in the intercept lengths.

●    Geological interpretations and cross sections confirm that drilling achieved reasonably representative intersections of mineralisation. No significant sampling bias related to drilling orientation was observed during resource modelling and estimation. In areas of uncertainty or more complex structure (fold closures, sheared zones), multiple drill directions were employed to cross-validate mineralisation geometry.

●    The drillhole database has been developed and managed using industry-standard practices. Geological, geotechnical, and assay data were initially collected in field log sheets or digital capture tools and subsequently entered into a centralised SQL-based database system. Data entry protocols included validation checks to reduce transcription errors, including dropdown lists for logging codes and automated field validations. Independent verification of key fields (collar locations, assay results, geology codes) against original laboratory certificates and field records was carried out periodically.

●    Database administration was performed by Centamin's in-house data management team, and periodic reviews and audits were conducted to check for consistency, missing fields, duplications, and logical errors. The database was exported and independently validated prior to each Mineral Resource estimation. Assay results were matched against original laboratory certificates to ensure accuracy, and downhole survey data was checked for consistency with expected drillhole trajectories. No material errors or significant discrepancies were identified during validation.

●    Site visits were conducted by Qualified Persons (QPs) responsible for the Mineral Resource estimate. The site visits included direct observation of drilling operations (RC and diamond drilling), core handling and sampling practices, geological logging procedures, and data management workflows.

●    During the site visits, the QP reviewed: drill collar locations, sampling representivity (soil, auger, RC, DD), core logging facilities, QAQC sample insertion and management, sample security and transport procedures.

●    No material issues or inconsistencies were identified during the site visits.

●    The Doropo Gold Project comprises sixteen prospects, Attire, Enioda, Chegue Main, Chegue South, Han, Hinda, Hinda South, Kekeda, Kilosegui, Nare, Nokpa, Sanboyoro, Solo, Souwa, Tchouahinin, and Vako.

●    The geological interpretation for each is based on a combination of surface mapping, soil geochemistry, trenching, drilling (RC and diamond core), and geophysical data. The mineralisation is structurally controlled, typically hosted within quartz-carbonate-sulphide vein arrays aligned along north-northeast trending shear zones. Detailed geological logging of drill core and RC chips provided information on lithology, alteration, mineralisation styles, and structure, which were incorporated into the 3D geological models.

●    Wireframes were constructed around logged mineralisation envelopes using a nominal cut-off of approximately 0.3 to 0.5 g/t Au, depending on deposit and geological domain. Interpretation of geological continuity, mineralised domain boundaries, and grade distribution is supported by close-spaced drilling (especially in Souwa, Chegue, and Krakara) and structural measurements taken from oriented core. Confidence in the interpretation is high where drilling density is greater, while areas of wider drill spacing retain a lower confidence, resulting in appropriate resource classification into Measured, Indicated, or Inferred.

●    The Doropo Mineral Resource comprises multiple discrete deposits, the largest of which are Souwa, Chegue, and Krakara. These deposits are structurally controlled lode gold systems that occur along northeast-trending shear zones. The mineralised zones are typically hosted in altered mafic to intermediate volcanic rocks and are characterised by moderate to steep dips.

●    The combined strike length of individual mineralised lodes within the Doropo Project is over 12 km, with individual deposits ranging from 300 m to over 2.5 km in length. Mineralised zones are generally 3 to 15 m thick but can reach widths of up to 30 m in dilational zones or where stacked lodes coalesce. The mineralisation extends from near surface to vertical depths of 100 to 250 m, with some mineralised domains drilled to 300 to 400 m vertical depth, particularly in Souwa.

●    Software used for the Mineral Resource estimate included Geoaccess Professional, Leapfrog Geo, Surpac and Isatis v2018.5.

●    The Mineral Resource estimate for the Doropo Project was estimated using Ordinary Kriging (OK) interpolation and Local Uniform Conditioning (LUC). Estimation was conducted within hard boundary mineralisation domains defined by 3D wireframes, constructed based on geological logging, assay results, trenching, and geophysical interpretations. Drillhole data was composited to 1 m intervals prior to estimation. High-grade outlier values were assessed through statistical analysis of gold grade distributions by domain, and top-cuts were applied on an individual domain basis to reduce the influence of extreme grades. In some areas a distance limiting constraint was applied. Variogram models were developed in Gaussian space to model the spatial continuity of gold grades and back transformed prior to estimation. Search ellipses were oriented along the dominant structural trends observed in the mineralisation.

●    The block models were constructed for each deposit with a parent block size of 5 m x 5 m x 2.5 m - the assumed ultimate SMU block size and rotated according to the orientation of the deposit. The OK interpolation was undertaken into relatively large panel blocks - predominantly 20 m x 20 m x 5 m but variable depending on deposit. Sub-blocking was utilised to accurately honour geological and mineralisation boundaries.

●    No mining dilution or recovery factors were applied; the estimate reflects in-situ grades and tonnages.

●    Only gold was estimated; no deleterious elements were modelled. No by-products were considered, and no correlations between variables were assumed as only gold was economically significant.

●    The model was validated through visual inspections, comparison of input composite grades to block grades, swath plot analysis, and global statistical checks. No reconciliation to mining production was possible as the Doropo Project remains pre-production at this time.

●    Tonnages are estimated and reported on a dry basis.

●    The Mineral Resource estimates for the Doropo Project were reported using a 0.3 g/t Au cut-off grade. This cut-off was selected based on PFS assumptions that reflect open pit mining methods, anticipated processing costs, metallurgical recoveries, and a long-term gold price assumption.

●    The 0.3 g/t Au cut-off represents a reasonable expectation for economic extraction in a conventional open-pit scenario with moderate stripping ratios and CIL (carbon-in-leach) gold recovery.

●    Mining factors and assumptions are based on the expectation of open pit mining methods using conventional truck and shovel operations. Optimised pit shells were generated using Whittle optimisation software to test the reasonable prospects for eventual economic extraction. These pit shells informed the reporting constraints applied to the Mineral Resource estimate.

●    The pit optimisations were generated by Orelogy with key mining parameters summarised below;

●     All models were re-blocked to 10 mX x 10 mY x 5 mRL;

●     Gold price assumption of USD3,000 per troy ounce;

●     Overall pit wall slope angles used are (in the range of):

o  24° in oxide;

o  28° in transitional;

o  48° in fresh;

●     Mining Recovery of 92% (8% ore loss);

●     Mining Dilution of 14%;

●     Process Recovery:

o  Oxide: 93.5%

●    Preliminary metallurgical testwork has been conducted on representative mineralised material from the Doropo Project. Samples were collected across a range of deposits (Souwa, Chegue, Krakara) and across different oxidation states (oxide, transitional, and fresh rock). Testwork was performed at certified laboratories and included gravity recovery tests, cyanidation leaching tests, and bottle roll tests.

●    The results indicate that gold mineralisation is amenable to conventional gravity recovery followed by CIL (carbon-in-leach) processing, achieving high gold recoveries generally exceeding 90%. Oxide material exhibited slightly higher recovery rates than fresh rock, but all major ore types demonstrated favourable leach kinetics. No significant metallurgical challenges, such as refractory gold or deleterious elements affecting processing, were identified during initial testwork.

●    Environmental and social baseline studies have been conducted across the project area, including flora and fauna surveys, water quality sampling, heritage site assessments, and social impact studies. These baseline investigations were undertaken to inform the Environmental and Social Impact Assessment (ESIA) process, which is a legal requirement for obtaining a Mining Licence in Côte d'Ivoire.

●    An ESIA and Resettlement Action Plan (RAP) were prepared in accordance with Ivorian regulations and submitted to the relevant authorities. Environmental certificates and approvals have been granted as part of the Mining Licence issuance. Key environmental risks identified (such as water management, waste disposal, and biodiversity preservation) have been assessed at a preliminary level and mitigation measures proposed, although final designs (e.g., for tailings storage facilities and mine waste dumps) will be completed during Feasibility Studies.

●    There are no known environmental issues that would materially affect the reasonable prospects of eventual economic extraction of the Mineral Resources. Ongoing monitoring and additional environmental studies are planned as the project advances toward development.

●    Bulk density measurements were taken systematically using drill core samples from across the various deposits and oxidation zones (oxide, transitional, and fresh rock). The measurements were conducted using the Archimedes principle (water immersion displacement method) on core samples. Samples were oven-dried before testing to ensure that moisture content did not artificially influence the density readings.

●    A substantial dataset of 19,587 bulk density measurements were collected and statistically analysed. Density values were assigned to different oxidation domains as follows:

●    Oxide material: average bulk density ~1.8-2.0 t/m³,

●    Transitional material: ~2.3-2.5 tm³,

●    Fresh rock: ~2.7 t/m³.

●    These domain-specific densities were applied to the block model based on the oxidation state of each block. Density variability was reviewed, and no significant spatial inconsistencies were identified that would materially affect the Mineral Resource estimate.

●    The Mineral Resource has been classified and reported in accordance with the CIM Definition Standards. Resources were classified into Measured, Indicated, and Inferred categories based on a combination of drilling density, geological confidence, continuity of mineralisation, and data quality.

●    Measured Resources were assigned in areas where drilling density was highest (nominally on 10 m x 10 m grids), geological and mineralisation continuity was well established, and data quality (assays, surveys, logging) was considered excellent.

●    Indicated Resources were defined in areas of moderate drilling density (typically 25 m to 30 m spacing) where mineralisation continuity and geological controls were reasonably well understood.

●    Inferred Resources were assigned to zones with broader drill spacing up to 50 m x 50 m, lower geological confidence, or where extrapolation beyond drilling data was required.

●    The classification approach appropriately reflects the level of confidence in the underlying geological models, sampling methods, and assay results.

●    No independent audit has been completed on the Doropo Mineral Resource Estimate.

●    Cube undertook regular internal peer reviews during the course of the MRE work.